Dissertations / Theses on the topic 'Social network system'
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Mannapperuma, Chanaka. "Tangible Social Network System : Visual Markers for Social Network." Thesis, Umeå University, Department of Informatics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34927.
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Tangible social network system is a home-based communication solution specifically designed for elders. Former researches indicate that insufficient communication among elders cause several challenges in their daily activities such as social isolation, loneliness, depression and decreased appetite. In addition, lack of social participation increases the risk of Alzheimer´s (Ligt Enid, 1990). The major cause of these challenges are that elders are increasingly removed from communication technology using emails, text messaging, interact with social network systems and mobile phones due to cognitive and physical difficulties. To overcome this problem, new suggested social network system incorporates photo frame and photo album based interaction which allows instantaneous participation to the social network. By designing the new social network system, I tried to create an easier venue for more active cross-generational communication between elders and younger family members.This paper discusses the early results of the marker based social networking system aiming to propose digital technologies to enhance the social life of older people, who live alone their home. A prototype combining a touch screen, photo frame and a camera are described. It allows the older people to manage their participation to the social network system and get in touch with their loved ones. This paper demonstrates a User Sensitive inclusive Design (USID) process from the generation of user needs to the evaluation prototype. A key theme of tangible social network system shows how usable and emotional design derived from a user inclusive design process can encourage elders to adopt new modern technology. A first evaluation has shown the usability as well as the good acceptance of this system.
AGNES
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Musial, Katarzyna. "Recommendation system for online social network." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4105.
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Although there has been much work done in the industry and academia on developing the theory and application of social networks as well as recommender systems, the relation between these research areas is still unclear. An innovative idea, which enables to integrate these areas, and applies recommendation systems to the online social network systems, is proposed in this thesis. Recommendation systems for social networks differ from the typical kinds of recommendation solutions, since they suggest human beings to other ones rather than inanimate goods. Thus, conventional recommendation methods should be enhanced by social features of the networks and their members. This thesis presents the result of the study on the recommendation framework for virtual communities. It also contains an overview of recent approaches to recommendation systems and social networks, as well as description of the online social network systems.
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Kulkarni, Rohan A. "Coolhunting and Coolfarming : harnessing the power of collaborative innovation networks using social network analysis." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90713.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 71-73).
Email, Instant Messaging, Voice Over IP (VOIP) and other means of online communication have become so ubiquitous today that we rarely take a moment to acknowledge how the internet has changed and redefined the ways in which we communicate and collaborate with fellow human beings. The internet has empowered us to collaborate with others in ways that were not possible till just a few years ago. As we communicate and interact with each other and form relationships, we weave intricate Social Networks that can be analyzed and exhibit communication patterns that can be quantified. In this thesis I have applied Social Network Analysis based techniques that constitute Coolhunting (Gloor & Cooper, 2007) to analyze E-Mail and WebEx communications of sales professionals of a large technology company. I have quantified communication patterns and computed metrics of social network prominence such as degree and betweenness centralities using Condor, a Social Network Analysis and Coolhunting software. Several significant correlations between the success of sales professionals and these quantified communication patterns and centrality measures were found. The communication patterns and centralities of the sales professionals exhibited several traits of Collaborative Innovation Networks or COINs (Gloor, 2006). I have assessed the implications of these communication patterns and correlations and applied the concept of Coolfarming (Gloor, 2011 a) to make recommendations to the technology company on how it could leverage the power of these COINs to their advantage. Key Terms: Collaborative Innovation Networks (COINs), Coolhunting, Coolfarming, Social Network Analysis, Condor, E-Mail, WebEx
by Rohan Kulkarni.
S.M. in Engineering and Management
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Holenarasipura, Narasanna Harsha. "Graph convolutional network based friendship recommender system for a social network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290573.
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This thesis aims to design and develop a deep neural network for friendship recommendations, and quantify its superior performance over a non-learned model for a given social network platform. The given social network consists of a large number of users over 120,000. It is important to characterize each user to offer relevant services on the platform such as friendship recommendations. Some users fill their profile information while some do not. Some users have made friends while some are just new to the platform and have no friends. A good recommender system should be able to tackle such realistic cases by utilizing the available (although limited in few cases) information about each user. It must be able to incorporate both the user profile information as well as the user friendship connection information. It is challenging for traditional non-learned models to incorporate both these set of information and recommend well. The field of deep learning has recently evidenced many innovations and advances and one of them is Graph Convolutional Networks (GCN). Lately, GCN-based models have proved their excellence in several recommendation tasks and shown state-of-the-art performance [1]. A Social network can be expressed as a graph with users as nodes and friendship connections as edges. Here, we examine the usage of a graph convolutional network to tackle the recommendation problem. Also, this thesis employs state-of-the-art pre-trained language model S-BERT for semantic representation of user textual data. This thesis investigates the viability of GCN-based models for friendship recommendations for individual social network users. In particular, a GCN model shall be developed based on PinSage architecture [1]. Then the GCN models shall be evaluated for three different setups. The obtained results show that the GCN-based model outperforms the non-learned model by a definitive margin. In particular, the findings show that a GCN model trained on a single city with rich user features yields the best results. This exhibits the versatility of GCN and corroborates its recent success in recommendation systems. This work demonstrates the rich characterization of each node in the graph (or user), which not only can be used to offer friendship recommendations but also to recommend other entities on the platform.Detta examensarbete ämnar kvantifiera till vilken grad ett djupt neuralt nätverk är bättre än en icke-inlärd modell på att rekommendera potentiella nya vänner till individer på ett socialt nätverk. Ett socialt nätverk består typiskt av ett stort antal individuella användare. Det är viktigt att karaktärisera varje användare för att erbjuda dem relevant service, såsom rekommenderade vänner. Vissa användare fyller i profilinformation, medan andra inte gör det. Vissa användare har vänner i nätverket, medan anda är nya på plattformen och saknar vänner där. Ett bra rekommendationssystem skall kunna hantera båda dessa fall, vilket inkluderar att analysera både användares profilinformation och deras väncirklar. Det är utmanande för traditionella, heuristiska metoder att inkorporera båda dessa informationskällor och rekommendera väl. Djupinlärning har på senare tid uppvisat många innovationer och framsteg, bland dem konvolutionsnät på grafer (Graph Convolutional Networks, GCN) [1]. GCN-baserade modeller har visat sin styrka genom ledande resultat i flera rekommendationssystem. Ett socialt nätverk kan formuleras som en graf där noderna är användare och kanterna är anknytningarna dem emellan. Detta gör det möjligt att använda konvolutionsnät på grafer på problemet. Detta examensarbete använder också den ledande förtränade textmodellen S-BERT för att extrahera särdrag ur textdata från användarna. Examensarbetet undersöker potentialen hos GCN-baserade modeller för att rekommendera nya vänner till individuella användare. Mer specifikt utvecklar vi en GCN-modell baserad på en arkitektur kallad PinSage. Vi studerar GCN-modeller för tre olika fall. I alla tre situationerna visar resultaten att GCN-baserade modeller med marginal ger bättre resultat en icke-inlärda modeller. Våra resultat visar särskilt att en GCN-modell tränad på en enskild stad med rika användarsärdrag ger bäst resultat. Detta visar flexibiliteten hos GCN:er och överensstämmer med deras framgångar i andra rekommendationssystem. Examensarbetet demonstrerar rika användarsärdrag som inte bara kan möjliggöra vänskapsrekommendationer utan även kan rekommendera annat innehåll på plattformen.
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Du, Aaron (Aaron Yinan). "Open-source social Network Assessment Survey System (NASS)." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33278.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (p. 49-50).
The selection of targeted survey questions and the design of survey questionnaires are instrumental in the social networks research. With the accelerating growth of theory and experimental knowledge in the area of social network analysis, there is a need for a centralized questionnaire database system for the collection and appropriate utilization of these questions and feedbacks used for social networks research. Our project aims to provide a content-driven back-end database system and an online user interface to assist researchers to make intelligent selection of survey questions and design of questionnaires based on current area-specific knowledge within social network analysis.
by Aaron Du.
M.Eng.
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Kim, Hyung Min McKeown Timothy J. "Social network conceptualizations of international system structure and national power a social network perspective on international relations /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,791.
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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.Title from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Political Science." Discipline: Political Science; Department/School: Political Science.
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Hamdouch, Ilias. "Collective intelligence at Enron during the California energy crisis : uncovering collaborative innovation networks using social network analysis." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106237.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2015.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 66-68).
As interaction takes place between individuals, relationships are formed and collaboration and innovation emerge. In this thesis I have applied Coolfarming (Gloor, 201 lb), a social network analysis method using Condor, a software tool to quantify communication patterns based on various data sources. I analyzed the Enron email archive to see if communication patterns of convicted employees differ from ordinary ones. Toward that goal, I compared the dynamic semantic social network metrics of 17 Enron employees convicted in the criminal trial following Enron's implosion with a control group of ordinary employees. I focused on 17 mailboxes of 24 Enron executives that were convicted. Identifying criminals based on email behaviors is possible depending on the sampling strategy. When sampling based on employees with comparable total emails, the statistical analysis of the Contribution Index (Ci) metric revealed that criminals were less active. When sampling based on employees with comparable total influence, the statistical analysis of Betweenness Centrality Oscillation (Bco) and Degree Centrality (Bc) metrics revealed that criminals were less connected to others and less creative.
by Ilias Hamdouch.
S.M. in Engineering and Management
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EPIFANIA, FRANCESCO. "Social Intelligent Learning Management System for Demanding Users." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/102438.
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With the ambition of providing teachers with a novel concrete tool called “Social Intelligent Learning Management System (SILMS)” for worldwide exploiting didactic contents to feature their courses, I faced the problem of creating a social platform with adequate functionalities to satisfy the teacher expectations.
This goal involved many disciplines and practices ranging from DB management, content management, social networking, till the exploitation of new cognitive systems in the thread of WEB4.0 services. At the same time my approach was much oriented to realize a real tool of concrete usage, still with distinguishably advanced features. Thus, starting with a well designed architecture I endowed it with key functionalities that become the stakeholders of the emerging social networks: 1) a quality system ensuring the value of the materials the users put in the platform repository as their contribution to the social business, 2) a recommender system based on either ontology assisted navigator or computational intelligence techniques constituting the principal tool to guide teachers along the assembling of materials into courses.
This work involved the cooperation of scientists in the mentioned disciplines, mainly at level of mentoring and discussing the best strategies. It also enjoyed contributions from foreign partners within the European Project NETT, which supported my PhD course and provided the lead case study as well. As a result we (me and the involved people) delineate an ecosystem where teachers exploit contents of a repository to which may contribute by themselves. They are encouraged in exploiting and contributing because the contents are of high quality; they are wisely assisted in the exploration of the repository by platform services yet under their full control; and they are variously reworded by this involvement.
This thesis resumes all this work, highlighting the innovative aspects and the experimental evidences. It consists of 6 chapters plus introduction and conclusions. The first two (chapters 2 and 3) are devoted to needs’ analysis and related state of the art. While a second block (chapters 4 and 5) deals with the platform design and implementation, the last two chapters are devoted to user experience and the mentioned cognitive tools employed in the realization of a recommender system which learns from the users how to better satisfy their inquiries.
The innovative contributions are reckoned in the Introduction, whereas a short appraisal of the work done and forewords are provided in the Conclusions chapter.
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Bell, Patrick M. "Development of Local Homeland Security Networks in the State of Florida: A Social Network Analysis Approach." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/574.
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How do local homeland security organizations respond to catastrophic events such as hurricanes and acts of terrorism? Among the most important aspects of this response are these organizations ability to adapt to the uncertain nature of these “focusing events” (Birkland 1997). They are often behind the curve, seeing response as a linear process, when in fact it is a complex, multifaceted process that requires understanding the interactions between the fiscal pressures facing local governments, the institutional pressures of working within a new regulatory framework and the political pressures of bringing together different levels of government with different perspectives and agendas.
This dissertation has focused on tracing the factors affecting the individuals and institutions planning, preparing, responding and recovering from natural and man-made disasters. Using social network analysis, my study analyzes the interactions between the individuals and institutions that respond to these “focusing events.” In practice, it is the combination of budgetary, institutional, and political pressures or constraints interacting with each other which resembles a Complex Adaptive System (CAS).
To investigate this system, my study evaluates the evolution of two separate sets of organizations composed of first responders (Fire Chiefs, Emergency Management Coordinators) and community volunteers organized in the state of Florida over the last fifteen years. Using a social network analysis approach, my dissertation analyzes the interactions between Citizen Corps Councils (CCCs) and Community Emergency Response Teams (CERTs) in the state of Florida from 1996- 2011. It is the pattern of interconnections that occur over time that are the focus of this study.
The social network analysis revealed an increase in the amount and density of connections between these organizations over the last fifteen years. The analysis also exposed the underlying patterns in these connections; that as the networks became more complex they also became more decentralized though not in any uniform manner. The present study brings to light a story of how communities have adapted to the ever changing circumstances that are sine qua non of natural and man-made disasters
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Stoll, Jennifer. "Information sharing in a nonprofit network." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45767.
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The civil rights and other social justice movements, such as the fight against child sex trafficking are examples of an informal context where information and communications technologies (ICTs) have been actively applied in hopes of furthering social justice causes. But while we see that informally organized, grassroots groups have shown considerable interest in ICTs, the actual effectiveness of ICTs for these groups remains largely unknown. This is particularly so when combining both the complexity of the technology landscape and large grassroots interorganizational networks. Given the enormous challenge of social justice issues, there are pressing needs that go beyond connecting more just individuals to help nonprofits. A central need of nonprofit social justice organizations is the connection and coordination of many different groups into interorganizational networks (or groups of groups). In my research, I conducted an in-depth qualitative study of such a network engaged in fighting child sex trafficking. In doing so, I have identified some of the challenges of information sharing and coordination in this context. I gained insight into their information sharing needs and practices for connecting within an interorganizational network. I also conducted a design exploration by building a technology intervention to understand how ICTs can better accommodate the interorganizational needs of information sharing for connecting. My research findings point towards an initial framework in understanding information sharing technologies for informal interorganizational networks.
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Ding, Ding. "Social Relations to Improve Network Resiliency against Failures and Censorships." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3424897.
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During the last decade, the Internet have penetrated our life. An increasing number of people relies on the Internet and its applications. Many client/server based Internet services, such as e-commerce (e.g., Amazon) and social networking (e.g., Facebook), are carefully provisioned and managed to deliver high availability. However, in the recent years, there have been situations where country-scale network fraction of Internet users have been disconnected from the rest of the network. In particular, because of national censorships, natural hazards, misconfiguration or DDoS attacks on links, the network is splitted into two or more areas, and consequently, web services/applications may become unavailable to users. This severely undermine the ability of people to communicate and organize, since many of the services used to discover and relay messages to other users (e.g., Twitter, Facebook) were unavailable. For example, because of a censorship, people in the censored area were not able to use microblogging service (i.e., Twitter). However, owing to the news media property of microblogging, under this situation (i.e., governments performing censorship), people are more willing to rely on this service, in order to spread information. Therefore, these web services/applications, need to be carefully provisioned to maintain high availability, against network failures or censorships. This dissertation focuses on improving the network resiliency against the network failures/partitions. More precisely, the contribution of this thesis is twofold: (i) we present our design of a social-aware P2P overlay that is able to provide better connectivity comparing with existing structured P2P overlays, and introduce a bootstrapping method for the proposed overlay; and (ii) based on social-aware overlay, we present two applications that are able to work in different network partition scenario. In particular, we present a decentralized microblogging system, named SAND and a decentralized censorship circumvention system, named SeND.
In the first part of this thesis, we focus on solutions to recover the connectivity within a partitioned area. In particular, we present a social aware overlay where users have private communication channels to their social friends, enabling virtual private network communication among social peers (even through NATs and firewalls). We compared the connectivity of social-aware overlay with other structured P2P overlays (i.e., Chord and SPROUT).We carried our an extensive simulation that shows the structured
P2P overlays routability is severely hampered by country-scale partition events. The proposed social-based unstructured overlay network provides improved routability while maintaining a smaller number of links. Moreover, we present a bootstrapping method for the proposed social-aware overlay. In particular, our bootstrap method allows nodes to easily join the overlay network, by leveraging close neighbors with public IP addresses. In the second part of this thesis, we present two representative applications based on social-aware overlay. First, we present SAND, a socialaware, network-failure resilient, and decentralized microblogging system. Compared with other decentralized microblogging systems, SAND has the following advantages: (i) SAND is designed for (and hence is able to handle) scenarios where massive correlated failures occur; (ii) the delivery rates of SAND is significantly high (i.e., with SAND-SN, a variant of SAND, peers are able to effectively follow each others updates with 100% delivery rate); and (iii) we evaluated SAND on partitioned networks based on a ground-truth dataset with a real publisher-subscriber distribution. Then, we present SeND, a social network friendship enhanced decentralized system to circumvent censorships. In order to be resilient to current censorship techniques, such as IP address blocking and active probing attacks, with SEnD, users in an uncensored area can act as proxy servers for their social friends in a censored area, allowing them to bypass the censorship. We assessed the effectiveness of SEnD through extensive simulations based on a synthetic dataset, as well as through experiments based on a prototype implementation. We built our synthetic dataset based on parameters obtained from questionnaires administered both inside and outside China (we consider China as a case study of censored area).Durante l'ultimo decennio, Internet ha penetrato la nostra vita. Un numero crescente di persone che si basa su Internet e le sue applicazioni. Molti servizi internet basati su client / server, come l'e-commerce (ad esempio, Amazon) e il social networking (ad esempio, Facebook), sono accuratamente provisioning e sono riusciti a fornire alta disponibilità. Tuttavia, negli ultimi anni, ci sono state situazioni in cui frazione rete paese scala degli utenti di Internet sono stati scollegati dal resto della rete. In particolare, a causa delle censure nazionali, rischi naturali, errata configurazione o attacchi DDoS sul link, la rete è divisa in due o più aree, e, di conseguenza, i servizi web / applicazioni potrebbe non essere disponibile per gli utenti. Questo potrebbe gravemente compromettere la capacità delle persone di comunicare e organizzare, dal momento che molti dei servizi utilizzati per scoprire e trasmettere messaggi ad altri utenti (ad esempio, Twitter, Facebook) non erano disponibili. Ad esempio, a causa di una censura, persone nella zona censurata non erano in grado di utilizzare il servizio di microblogging (vale a dire, Twitter). Tuttavia, a causa della proprietà notizie dei media di microblogging, nell'ambito di questa situazione (cioè, i governi che svolgono la censura), le persone sono più disposti a fare affidamento su questo servizio, al fine di diffondere informazioni. Pertanto, questi servizi web / applicazioni, devono essere attentamente provisioning per mantenere l'alta disponibilità, contro i guasti di rete o censure. Questa tesi si concentra sul miglioramento della resilienza della rete contro i guasti di rete / partizioni. Più precisamente, il contributo di questa tesi è duplice: (i) Vi presentiamo il nostro progetto di una sovrapposizione socio-consapevoli P2P che è in grado di fornire una migliore connettività a confronto con esistenti strutturato sovrapposizioni P2P, e introdurre un metodo bootstrap per la sovrapposizione proposto; e (ii) basato su overlay sociale consapevole, presentiamo due applicazioni che sono in grado di lavorare in differenti scenari partizione della rete. In particolare, vi presentiamo un sistema di microblogging decentrato, denominato di sabbia e un sistema di censura elusione decentrato, denominato inviare.
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Blasko, Christopher D. "Developing a high performing social system within a network marketing business group." Menomonie, WI : University of Wisconsin--Stout, 2004. http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf.
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Afzal, Usman, and Md Mustakimul Islam. "Meven : An Enterprise Trust Recommender System." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137737.
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Growing an online community takes time and effort. Relationships in an online community must be initiated based on trust followed by privacy, and then carefully cultivated. People are using web based social networks more than recent past, but they always want to protect their private data from unknown access; meanwhile also eager to know more people whom they are interested. Among all other system, trust based recommenders have been one of the most used and demanding system which takes the advantage of social trust to generate more accurate predictions. In this work we have proposed for Meven (An Enterprise trust-based profile recommendation with privacy), which uses Social Network Content (User Profiles and trends) with Trust and privacy control policy. The idea of system is to provide Social Networks with the ability to quickly find related information about the users having similar behaviors as the current user. The users will also be able to set the privacy metrics on their profiles so they will not get recommendation of those they feel less important and this is achieved by Privacy metrics. To generate accurate predictions, we defined trust between two users as a strong bond which is computed using different metrics based on user’s activities with respect to different content such as blogging, writing articles, commenting, and liking along with profile information such as organization, region, interests or skills. We have also introduced privacy metric in such a way so that users have full freedom to hide themselves from the recommendation system or they can also have the opportunity to customize their profiles to be visible to certain level of trustworthy users. We have exposed our application as a web service(api) so that any social network web portal can access the recommendations and publish them as a widget in social network.
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Motamedi, Reza. "Measurement-based Characterization of Large-Scale Networked Systems." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22267.
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As the Internet has grown to represent arguably the largest “engineered” system on earth, network researchers have shown increasing interest in measuring this large-scale networked system. In the process, structures such as the physical Internet or the many different (logical) overlay networks that this physical infrastructure enables have been the focus of numerous studies. Many of these studies have been fueled by the ease of access to “big data”. Moreover, they benefited from advances in the study of complex networks.
However, an important missing aspect in typical applications of complex network theory to the study of real-world distributed systems has been a general lack of attention to domain knowledge. On the one hand, missing or superficial domain knowledge can negatively affect the studies “input”; that is, limitations or idiosyncrasies of the measurement methods can render the resulting graphs difficult to interpret if not meaningless. On the other hand, lacking or insufficient domain knowledge can result in specious “output”; that is, popular graph abstractions of real-world systems are incapable of accounting for “details” that are important from an engineering perspective.
In this thesis, we take a closer look at measurement-based characterization of a few real-world large-scale networked systems and focus on the role that domain knowledge plays in gaining a thorough understanding of these systems key properties and behavior. More specifically, we use domain knowledge to (i) design context-aware measurement strategies that capture the relevant information about the system of interest, (ii) analyze the captured view of the networked system baring in mind the abstraction imposed by the chosen graph representation, and (iii) scrutinize the results derived from the analysis of the graph-based representations by investigating the root causes underlying these findings. The main technical contribution of our work is twofolds. First, we establish concrete connections between the amount and level of domain knowledge needed and the quality of the measurements collected from networked systems. Second, we also provide concrete evidence for the role that domain knowledge plays in the analysis of views inferred from measurements collected from large-scale networked systems
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Macpherson, Janet Robertson. "Implications of the inclusion of document retrieval systems as actors in a social network." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4913/.
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Traditionally, social network analysis (SNA) techniques enable the examination of relationships and the flow of information within networks of human members or groups of humans. This study extended traditional social network analysis to include a nonhuman group member, specifically a document retrieval system. The importance of document retrieval systems as information sources, the changes in business environments that necessitates the use of information and communication technologies, and the attempts to make computer systems more life-like, provide the reasons for considering the information system as a group member. The review of literature for this study does not encompass a single body of knowledge. Instead, several areas combined to inform this study, including social informatics for its consideration of the intersection of people and information technology, network theory and social network analysis, organizations and information, organizational culture, and finally, storytelling in organizations as a means of transferring information. The methodology included distribution of surveys to two small businesses that used the same document retrieval system, followed by semi-structured interviews of selected group members, which allowed elaboration on the survey findings. The group members rated each other and the system on four interaction criteria relating to four social networks of interest, including awareness, access, information flow, and problem solving. Traditional measures of social networks, specifically density, degree, reciprocity, transitivity, distance, degree centrality, and closeness centrality provided insight into the positioning of the nonhuman member within the social group. The human members of the group were able to respond to the survey that included the system but were not ready to consider the system as being equivalent to other human members. SNA measures positioned the system as an average member of the group, not a star, but not isolated either. Examination of the surveys or the interviews in isolation would not have given a complete picture of the system's place within the group.
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Blamey, Benjamin. "Lifelogging with SAESNEG : a system for the automated extraction of social network event groups." Thesis, Cardiff Metropolitan University, 2015. http://hdl.handle.net/10369/7859.
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This thesis presents SAESNEG, a System for the Automated Extraction of Social Network Event Groups; a pipeline for the aggregation of the personal social media footprint, and its partitioning into events, the event clustering problem. SAESNEG facilitates a reminiscence-friendly user experience, where the user is able to navigate their social media footprint. A range of socio-technical issues are explored: the challenges to reminiscence, lifelogging, ownership, and digital death. Whilst previous systems have focused on the organisation of a single type of data, such as photos or Tweets respectively; SAESNEG handles a variety of types of social network documents found in a typical footprint (e.g. photos, Tweets, check-ins), with a variety of image, text and other metadata di erently heterogeneous data; adapted to sparse, private events typical of the personal social media footprint. Phase A extracts information, focusing on natural language processing; new techniques are developed; including a novel distributed approach to handling temporal expressions, and a parser for social events (such as birthdays). Information is also extracted from image and metadata, the resultant annotations feeding the subsequent event clustering. Phase B performs event clustering through the application of a number of pairwise similarity strategies a mixture of new and existing algorithms. Clustering itself is achieved by combining machine-learning with correlation clustering. The main contributions of this thesis are the identi cation of the technical research task (and the associated social need), the development of novel algorithms and approaches, and the integration of these with existing algorithms to form the pipeline. Results demonstrate SAESNEG's capability to perform event clustering on a di erently heterogeneous dataset, enabling users to achieve lifelogging in the context of their existing social media networks.
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Harvey, Natalie. "An investigation into the use of social network sites to support project communications." Thesis, St Andrews, 2010. http://hdl.handle.net/10023/930.
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Grabowicz, Przemyslaw Adam. "Complex networks approach to modeling online social systems. The emergence of computational social science." Doctoral thesis, Universitat de les Illes Balears, 2014. http://hdl.handle.net/10803/131220.
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This thesis is devoted to quantitative description, analysis, and modeling of complex social systems in the form of online social networks. Statistical patterns of the systems under study are unveiled and interpreted using concepts and methods of network science, social network analysis, and data mining. A long-term promise of this research is that predicting the behavior of complex techno-social systems will be possible in a way similar to contemporary weather forecasting, using statistical inference and computational modeling based on the advancements in understanding and knowledge of techno-social systems. Although the subject of this study are humans, as opposed to atoms or molecules in statistical physics, the availability of extremely large datasets on human behavior permits the use of tools and techniques of statistical physics. This dissertation deals with large datasets from online social networks, measures statistical patterns of social behavior, and develops quantitative methods, models, and metrics for complex techno-social systems.La presente tesis está dedicada a la descripción, análisis y modelado cuantitativo de sistemas complejos sociales en forma de redes sociales en internet. Mediante el uso de métodos y conceptos provenientes de ciencia de redes, análisis de redes sociales y minería de datos se descubren diferentes patrones estadísticos de los sistemas estudiados. Uno de los objetivos a largo plazo de esta línea de investigación consiste en hacer posible la predicción del comportamiento de sistemas complejos tecnológico-sociales, de un modo similar a la predicción meteorológica, usando inferencia estadística y modelado computacional basado en avances en el conocimiento de los sistemas tecnológico-sociales. A pesar de que el objeto del presente estudio son seres humanos, en lugar de los átomos o moléculas estudiados tradicionalmente en la física estadística, la disponibilidad de grandes bases de datos sobre comportamiento humano hace posible el uso de técnicas y métodos de física estadística. En el presente trabajo se utilizan grandes bases de datos provenientes de redes sociales en internet, se miden patrones estadísticos de comportamiento social, y se desarrollan métodos cuantitativos, modelos y métricas para el estudio de sistemas complejos tecnológico-sociales.
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Zhao, Jiayun. "A Simulation-based Decision Support System for Electric Power Demand Management Considering Social Network Interactions." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/311558.
Full textAbstract:
A two-level agent-based modeling framework is proposed for the electric power system to solve the problems of renewable energy utilization and demand-side management. While in the detailed level of the framework the customers and utility companies are modeled as agents to represent electricity demand and supply performances, respectively, the high level reflects the aggregated performance of the considered electricity market via state space models. To connect the two levels, a social network is introduced as a dynamic medium for the interactions among customer agents. While the customers' consumption behaviors are modeled at lower level and affected by each other, their individual performances contribute to the system performance in the high level. This dissertation concerns three problems. First, the problem of renewable energy adoption concerns penetration process of distributed solar systems with various incentive policies (i.e., Income Tax Credits and Feed-in Tariff) for renewable energy. The proposed hybrid model incorporates agent-based modeling and system dynamics to simulate the solar system diffusion process among the residential customers. Second, the demand-side management problem focuses on scheduling the Plug-in Hybrid Electric Vehicles (PHEV) charging under different scenarios of demand response programs (i.e., Time-of Use and Real-time Pricing). For the Time-of Use (TOU) program, the decision-support analysis results from simulation-based optimization for both customers and the utility company. For the Real-time Pricing (RTP) program, the discussion is to find proper pricing functions according to different customers. Third, the problem concerns the agent interaction based on different architectures of social network (i.e., small-world and scale-free) and the network evolution based on triadic closure. Such interaction is applied to the first two problems with the effect of changing the customers' social connections, preferences in consumption behaviors and acceptable grid prices. Furthermore, to extend the demand-side management problem, this research also discusses the energy management at individual households integrating PV generation system, battery storage and electric vehicle under demand response programs. The conceptual model is based on the threshold method to suggest residential customers when to use the electricity from which sources (PV generation, storage, or local grid).
20
Åsberg, Samira. "Social Networks in Education: A Facebook-Based Educational Platform." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93649.
Full textAbstract:
Social networking sites are among the most popular daily activities of students these days. Students are mostly using social networking sites for communication and sharing of their experiences. Facebook is an example of a social networking site, which supports additional features such as creating a profile page, creating group pages and supports possibility of implementing different integrated application with Facebook. These features improve the Facebook experience, allowing users to form groups, where they can introduce ideas and concepts, which can be shared and discussed in a structured style. For this thesis we have created a new learning management system by implementing an online educational platform within a Facebook context. This work introduces a new, complementary style of education, where students can improve their knowledge and sociality outside the university in an innovative way. The platform takes advantage of gamification, which introduces game-like elements to concepts such as education and learning management systems, to make them more fun and rewarding. The goal of this thesis is to extend the educational border to an interesting online environment where students can learn, communicate, and examine their knowledge globally in different courses within our application platform in Facebook.
21
Chen, Lin. "A social matching system : using implicit and explicit information for personalized recommendation in online dating service." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/64157/1/Lin_Chen_Thesis.pdf.
Full textAbstract:
Online dating websites enable a specific form of social networking and their efficiency can be increased by supporting proactive recommendations based on participants' preferences with the use of data mining. This research develops two-way recommendation methods for people-to-people recommendation for large online social networks such as online dating networks. This research discovers the characteristics of the online dating networks and utilises these characteristics in developing efficient people-to-people recommendation methods. Methods developed support improved recommendation accuracy, can handle data sparsity that often comes with large data sets and are scalable for handling online networks with a large number of users.
22
Sun, Runpu. "Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145394.
Full textAbstract:
The new social media sites - blogs, micro-blogs, and social networking sites, among others - are gaining considerable momentum to facilitate collaboration and social interactions in general. These sites provide a tremendous asset for understanding social phenomena by providing a wide availability of novel data sources. Recent estimates suggest that social media sites are responsible for as much as one third of new Web content, in the forms of social networks, comments, trackbacks, advertisements, tags, etc. One critical and immediate challenge facing the MIS researchers then becomes - how to effectively utilize this huge wealth of social media data, to facilitate business knowledge discovery and decision making.Among these available data sources, social networks constitute the backbone of almost all social media sites. These network structures provide a rich description of the social scenes and contexts, which is helpful for us to address the above challenge. In this dissertation, I have primarily employed the probabilistic network models, to study various social network related problems arose from the use of social media services. In Chapter 2 and Chapter 3, I studied how information overload can affect the efficiency of information diffusion in online social networks (Delicious.com and Digg.com). Novel diffusion model were proposed to model the observed information overload. The models and their extensions are thoroughly evaluated by solving the Influence Maximization problem related to information diffusion and viral marketing applications. In Chapter 4, I studied the information overload in a micro-blogging application (Twitter.com) using a design science methodology. A content recommendation framework was proposed to help micro-blogging users to efficiently identify quality emergency news feeds. Chapter 5 presents a novel burst detection algorithm concerning identifying and analyzing correlated burst patterns by considering multiple inputs (data streams) that co-evolve over time. The algorithm was later used for discovering burst keywords/tag pairs from online social communities, which are strong indicators of emerging or changing user interests.Chapter 6 concludes this dissertation by highlighting major research contributions and future directions.
23
Ensum, Jan. "A coal mining community in late nineteenth-century Shropshire : frontier settlement or close-knit community?" Thesis, University of Wolverhampton, 2000. http://hdl.handle.net/2436/96546.
Full text
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Deirmenci, Hazim. "Enabling Content Discovery in an IPTV System : Using Data from Online Social Networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200922.
Full textAbstract:
Internet Protocol television (IPTV) is a way of delivering television over the Internet, which enables two-way communication between an operator and its users. By using IPTV, users have freedom to choose what content they want to consume and when they want to consume it. For example, users are able to watch TV shows after they have been aired on TV, and they can access content that is not part of any linear TV broadcasts, e.g. movies that are available to rent. This means that, by using IPTV, users can get access to more video content than is possible with the traditional TV distribution formats. However, having more options also means that deciding what to watch becomes more difficult, and it is important that IPTV providers facilitate the process of finding interesting content so that the users find value in using their services. In this thesis, the author investigated how a user’s online social network can be used as a basis for facilitating the discovery of interesting movies in an IPTV environment. The study consisted of two parts, a theoretical and a practical. In the theoretical part, a literature study was carried out in order to obtain knowledge about different recommender system strategies. In addition to the literature study, a number of online social network platforms were identified and empirically studied in order to gain knowledge about what data is possible to gather from them, and how the data can be gathered. In the practical part, a prototype content discovery system, which made use of the gathered data, was designed and built. This was done in order to uncover difficulties that exist with implementing such a system. The study shows that, while it is is possible to gather data from different online social networks, not all of them offer data in a form that is easy to make use of in a content discovery system. Out of the investigated online social networks, Facebook was found to offer data that is the easiest to gather and make use of. The biggest obstacle, from a technical point of view, was found to be the matching of movie titles gathered from the online social network with the movie titles in the database of the IPTV service provider; one reason for this is that movies can have titles in different languages.Internet Protocol television (IPTV) är ett sätt att leverera tv via Internet, vilket möjliggör tvåvägskommunikation mellan en operatör och dess användare. Genom att använda IPTV har användare friheten att välja vilket innehåll de vill konsumera och när de vill konsumera det. Användare har t.ex. möjlighet att titta på tv program efter att de har sänts på tv, och de kan komma åt innehåll som inte är en del av någon linjär tv-sändning, t.ex. filmer som är tillgängliga att hyra. Detta betyder att användare, genom att använda IPTV, kan få tillgång till mer videoinnhåll än vad som är möjligt med traditionella tv-distributionsformat. Att ha fler valmöjligheter innebär dock även att det blir svårare att bestämma sig för vad man ska titta på, och det är viktigt att IPTV-leverantörer underlättar processen att hitta intressant innehåll så att användarna finner värde i att använda deras tjänster. I detta exjobb undersökte författaren hur en användares sociala nätverk på Internet kan användas som grund för att underlätta upptäckandet av intressanta filmer i en IPTV miljö. Undersökningen bestod av två delar, en teoretisk och en praktisk. I den teoretiska delen genomfördes en litteraturstudie för att få kunskap om olika rekommendationssystemsstrategier. Utöver litteraturstudien identifierades ett antal sociala nätverk på Internet som studerades empiriskt för att få kunskap om vilken data som är möjlig att hämta in från dem och hur datan kan inhämtas. I den praktiska delen utformades och byggdes en prototyp av ett s.k. content discovery system (“system för att upptäcka innehåll”), som använde sig av den insamlade datan. Detta gjordes för att exponera svårigheter som finns med att implementera ett sådant system. Studien visar att, även om det är möjligt att samla in data från olika sociala nätverk på Internet så erbjuder inte alla data i en form som är lätt att använda i ett content discovery system. Av de undersökta sociala nätverkstjänsterna visade det sig att Facebook erbjuder data som är lättast att samla in och använda. Det största hindret, ur ett tekniskt perspektiv, visade sig vara matchningen av filmtitlar som inhämtats från den sociala nätverkstjänsten med filmtitlarna i IPTV-leverantörens databas; en anledning till detta är att filmer kan ha titlar på olika språk.
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Roséd, Nathalie, and Sally Pang. "Unga vuxnas interaktion med mobila sociala medier i vardagen." Thesis, Södertörns högskola, Institutionen för kommunikation, medier och it, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-5819.
Full textAbstract:
This Bachelors exam is about young adults and their use of Mobile Social Network System.The use of mobile social media has become more common in today’s society, ranging fromteenagers, the dominating internet users, to the elderly. The traditional purpose of use inmobile phones, the voice communication from one place to another, has in Sweden beendominated by text communication instead. Along with the development of Smartphones andthe mobile interface, the births of mobile social media have increased in the market. Reports have shown that of all the devices with the possibility to connect to social networks,the one kept closest to our bodies is the mobile phone. One of the advantages of using thephone for mobile social media is that you can easily and smoothly update whenever andwherever, within one arm’s reach. An update can be anything the user feel like sharing withfriends. For example the user’s location, feelings and thoughts or it could also be a picture ora video clip. Our report focuses on what factors contributes to the use of mobile social media, in whatcontexts the updates happen in as well as where, how and why they do.
26
Murphy, Glen Desson. "A shock to the system : the structural implications of enterprise system technology." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16403/1/Glen_Murphy_Thesis.pdf.
Full textAbstract:
The last two decades have seen an increasing sophistication in the type of information systems employed by organizations. In particular we have seen the emergence of enterprise systems technology - advanced information technology specifically designed
to integrate the vast majority of an organization's processes and data flows. As the
characteristics of ES technology have encroached beyond individual user domains
and have become integrated throughout organizations, user acceptance issues have
also broadened beyond the individual unit of analysis. At the same time numerous
examples can be found both in the trade press and academic literature of organizations
wishing to use enterprise systems as a primary driver of widespread organizational
change and restructuring.
A fundamental premise of this study is that while it may be intuitively appealing to
consider technology as a primary catalyst for organizational change, it neglects to
acknowledge the presence of what is referred to as the "eduality of structure"e (Giddens,
1993). Duality of structure proponents contend that while IT system protocols may
to a certain extent determine individual action, human agency can also determine the
extent to which the technology is incorporated into everyday operations. The failure
of past research to acknowledge the role of individual action and the influence of social
context in determining IT usage is considered to be a significant oversight (DeSanctis
& Poole, 1994).
Underpinned by the theory of structuration and its notion of duality, a theory of user
acceptance is put forward capable of clarifying the process by which users evaluate
and react to enterprise systems technology. The thesis reports on an empirical
investigation into the relationship between three representations of structure within an
organization: the characteristics of ES technology; job design; and social networks.
The capacity of ES technology to alter the structural elements of both job design and
social networks, and hence form user's attitudes and behavior towards the system,
is the fundamental theoretical premise of the thesis. As such this represents a clear
step forward in understanding the implications of ES technology for both users and
organizational structure.
Using a longitudinal embedded single case design, this study examines the user
acceptance and structural implications of introducing an ES into a large public sector
educational institution. A social network and job design perspective was adopted to
offer fresh insight into the dynamics of employee reaction to the introduction of ES
technology. Five hypotheses support the job design component of the thesis. It was argued that given the inherent design elements of ES technology, along with the specific
intent of the system's introduction, that users would both anticipate and perceive a
decrease in job characteristics following an ES implementation. Further, that the
positive relationship between job change and user acceptance would be moderated
by the amount of system usage reported by users. Users with a greater exposure to
the system were hypothesized to have a far stronger relationship between job change
and acceptance than low users. The ramifications of perceived or actual changes to
embedded resource exchange networks and subsequent employee reactions to those
changes were also considered. Essentially social networks were argued to play a
dual role in the user acceptance process, one being a conduit for the facilitation and
transfer of user attitudes towards new systems, the other acting as a catalyst for attitude
formation towards new systems.
Overall the findings only partially supported four of the eight hypotheses put forward.
While users were seen to anticipate an "eacross the board"e decrease in job characteristics
at Time 1 following the introduction of an ES, perceived changes in job characteristics
at Time 2 were dependant on user hierarchy and the extent of system usage. Those
high in formal authority reported an increase in job enrichment following the system's
introduction, while those low in formal authority reported a decrease in overall job
enrichment. Usage was also seen to moderate the relationship between job change
and user acceptance. At Time 1 low users reported a positive relationship between
anticipated changes in meaningfulness and user acceptance. Conversely at Time 1 high
users reported a negative relationship between anticipated skill variety levels at Time 2
and user acceptance. Only one job characteristic reported a relationship between usage
and user acceptance. Low users reported a positive relationship between changes in
task identity and user acceptance. A post-hoc profile of the usage categories indicated
that high users were more likely to be a lower hierarchical position than low users.
The positive relationship reported by low users at Time 1 and Time 2 was explained by
both the nature of the system, as well as the type and quantity of information received
by low users. As senior members of the organization they were considered more likely
to receive information that highlighted its attributes in the context of their job roles. The
inherent design of ES technology, along with the specific intent it was being introduced,
facilitated largely management orientated objectives. Therefore it is unsurprising
that low users anticipating an increase in experienced meaningfulness following the
introduction of a system that enhanced their job role reported corresponding acceptance
levels. In contrast, the negative relationship between anticipated levels of skill variety
at Time 2 and perceived ease of use was explained by the affinity that high users were likely to have with the old system. To high users with a high degree of proficiency
associated with a redundant skill set, increased skill variety only represented a steeper
learning curve and an increased pressure to adapt to the new system.
The network component of the study also produced mixed results. Of the two networks
that were measured over time, only one supported the hypothesized increase in both
advice and resource exchange networks over time. Post-hoc analyses indicated that
two of the four groups exhibited network change consistent with the hypothesized
relationship. Anecdotal reports suggested that contextual elements such as geographical
location and managerial policy at a localized level determined the nature of the change
for the remaining two groups. The results failed to support the relationship between
network change and user acceptance. However, a weak but significant negative
relationship between the measure of network efficiency and user acceptance was
found. In simple terms users developing an increasingly redundant set of contacts
reported higher levels of user acceptance.
In sum, the thesis represents a contribution to enterprise systems, user acceptance
and social network literatures. In the first instance the research validates the call by
Orlikowski & Iacono (2001) to readily acknowledge the specific nature of the technology
under investigation. Despite the growth and saturation of enterprise system types,
comparatively little research has been undertaken to examine the user and organizational
issues surrounding their implementation. This research has demonstrated the capacity
for the inherent design elements of ES technology to have differential effects in terms
of job design for different user classifications. This and other findings represent a
step forward in understanding the structural and user acceptance implications of this
technology, while sign-pointing a number of promising future research avenues.
The job design results, and to a lesser extent the network efficiency results, demonstrate
the effect of social context on user acceptance. As such they provide further insight
regarding the potential determinants of user acceptance beyond the individual unit of
analysis. The findings also indicate an increasing need for user acceptance research to
stretch beyond the transitory, short term measures of user acceptance such as perceived
ease of use, usefulness, training and computer efficacy.
Finally the thesis contributes to a small, but growing literature examining the role of
social networks in the process of organizational change. In particular this thesis has
considered in detail, the attitudinal and behavioral consequences of artificially altering
established patterns of interaction. As such the study highlights the need to better
understand the role of networks not only in the case of facilitating change, but the
effect of network change in terms of change intervention success.
27
Murphy, Glen Desson. "A shock to the system : the structural implications of enterprise system technology." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16403/.
Full textAbstract:
The last two decades have seen an increasing sophistication in the type of information systems employed by organizations. In particular we have seen the emergence of enterprise systems technology - advanced information technology specifically designed to integrate the vast majority of an organization's processes and data flows. As the characteristics of ES technology have encroached beyond individual user domains and have become integrated throughout organizations, user acceptance issues have also broadened beyond the individual unit of analysis. At the same time numerous examples can be found both in the trade press and academic literature of organizations wishing to use enterprise systems as a primary driver of widespread organizational change and restructuring. A fundamental premise of this study is that while it may be intuitively appealing to consider technology as a primary catalyst for organizational change, it neglects to acknowledge the presence of what is referred to as the "eduality of structure"e (Giddens, 1993). Duality of structure proponents contend that while IT system protocols may to a certain extent determine individual action, human agency can also determine the extent to which the technology is incorporated into everyday operations. The failure of past research to acknowledge the role of individual action and the influence of social context in determining IT usage is considered to be a significant oversight (DeSanctis & Poole, 1994). Underpinned by the theory of structuration and its notion of duality, a theory of user acceptance is put forward capable of clarifying the process by which users evaluate and react to enterprise systems technology. The thesis reports on an empirical investigation into the relationship between three representations of structure within an organization: the characteristics of ES technology; job design; and social networks. The capacity of ES technology to alter the structural elements of both job design and social networks, and hence form user's attitudes and behavior towards the system, is the fundamental theoretical premise of the thesis. As such this represents a clear step forward in understanding the implications of ES technology for both users and organizational structure. Using a longitudinal embedded single case design, this study examines the user acceptance and structural implications of introducing an ES into a large public sector educational institution. A social network and job design perspective was adopted to offer fresh insight into the dynamics of employee reaction to the introduction of ES technology. Five hypotheses support the job design component of the thesis. It was argued that given the inherent design elements of ES technology, along with the specific intent of the system's introduction, that users would both anticipate and perceive a decrease in job characteristics following an ES implementation. Further, that the positive relationship between job change and user acceptance would be moderated by the amount of system usage reported by users. Users with a greater exposure to the system were hypothesized to have a far stronger relationship between job change and acceptance than low users. The ramifications of perceived or actual changes to embedded resource exchange networks and subsequent employee reactions to those changes were also considered. Essentially social networks were argued to play a dual role in the user acceptance process, one being a conduit for the facilitation and transfer of user attitudes towards new systems, the other acting as a catalyst for attitude formation towards new systems. Overall the findings only partially supported four of the eight hypotheses put forward. While users were seen to anticipate an "eacross the board"e decrease in job characteristics at Time 1 following the introduction of an ES, perceived changes in job characteristics at Time 2 were dependant on user hierarchy and the extent of system usage. Those high in formal authority reported an increase in job enrichment following the system's introduction, while those low in formal authority reported a decrease in overall job enrichment. Usage was also seen to moderate the relationship between job change and user acceptance. At Time 1 low users reported a positive relationship between anticipated changes in meaningfulness and user acceptance. Conversely at Time 1 high users reported a negative relationship between anticipated skill variety levels at Time 2 and user acceptance. Only one job characteristic reported a relationship between usage and user acceptance. Low users reported a positive relationship between changes in task identity and user acceptance. A post-hoc profile of the usage categories indicated that high users were more likely to be a lower hierarchical position than low users. The positive relationship reported by low users at Time 1 and Time 2 was explained by both the nature of the system, as well as the type and quantity of information received by low users. As senior members of the organization they were considered more likely to receive information that highlighted its attributes in the context of their job roles. The inherent design of ES technology, along with the specific intent it was being introduced, facilitated largely management orientated objectives. Therefore it is unsurprising that low users anticipating an increase in experienced meaningfulness following the introduction of a system that enhanced their job role reported corresponding acceptance levels. In contrast, the negative relationship between anticipated levels of skill variety at Time 2 and perceived ease of use was explained by the affinity that high users were likely to have with the old system. To high users with a high degree of proficiency associated with a redundant skill set, increased skill variety only represented a steeper learning curve and an increased pressure to adapt to the new system. The network component of the study also produced mixed results. Of the two networks that were measured over time, only one supported the hypothesized increase in both advice and resource exchange networks over time. Post-hoc analyses indicated that two of the four groups exhibited network change consistent with the hypothesized relationship. Anecdotal reports suggested that contextual elements such as geographical location and managerial policy at a localized level determined the nature of the change for the remaining two groups. The results failed to support the relationship between network change and user acceptance. However, a weak but significant negative relationship between the measure of network efficiency and user acceptance was found. In simple terms users developing an increasingly redundant set of contacts reported higher levels of user acceptance. In sum, the thesis represents a contribution to enterprise systems, user acceptance and social network literatures. In the first instance the research validates the call by Orlikowski & Iacono (2001) to readily acknowledge the specific nature of the technology under investigation. Despite the growth and saturation of enterprise system types, comparatively little research has been undertaken to examine the user and organizational issues surrounding their implementation. This research has demonstrated the capacity for the inherent design elements of ES technology to have differential effects in terms of job design for different user classifications. This and other findings represent a step forward in understanding the structural and user acceptance implications of this technology, while sign-pointing a number of promising future research avenues. The job design results, and to a lesser extent the network efficiency results, demonstrate the effect of social context on user acceptance. As such they provide further insight regarding the potential determinants of user acceptance beyond the individual unit of analysis. The findings also indicate an increasing need for user acceptance research to stretch beyond the transitory, short term measures of user acceptance such as perceived ease of use, usefulness, training and computer efficacy. Finally the thesis contributes to a small, but growing literature examining the role of social networks in the process of organizational change. In particular this thesis has considered in detail, the attitudinal and behavioral consequences of artificially altering established patterns of interaction. As such the study highlights the need to better understand the role of networks not only in the case of facilitating change, but the effect of network change in terms of change intervention success.
28
Quijada, Sergio. "A HYBRID SIMULATION METHODOLOGY TO EVALUATE NETWORK CENTRICDECISION MAKING UNDER EXTREME EVENTS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2348.
Full textAbstract:
Currently the network centric operation and network centric warfare have generated a new area of research focused on determining how hierarchical organizations composed by human beings and machines make decisions over collaborative environments. One of the most stressful scenarios for these kinds of organizations is the so-called extreme events. This dissertation provides a hybrid simulation methodology based on classical simulation paradigms combined with social network analysis for evaluating and improving the organizational structures and procedures, mainly the incident command systems and plans for facing those extreme events. According to this, we provide a methodology for generating hypotheses and afterwards testing organizational procedures either in real training systems or simulation models with validated data. As long as the organization changes their dyadic relationships dynamically over time, we propose to capture the longitudinal digraph in time and analyze it by means of its adjacency matrix. Thus, by using an object oriented approach, three domains are proposed for better understanding the performance and the surrounding environment of an emergency management organization. System dynamics is used for modeling the critical infrastructure linked to the warning alerts of a given organization at federal, state and local levels. Discrete simulations based on the defined concept of "community of state" enables us to control the complete model. Discrete event simulation allows us to create entities that represent the data and resource flows within the organization. We propose that cognitive models might well be suited in our methodology. For instance, we show how the team performance decays in time, according to the Yerkes-Dodson curve, affecting the measures of performance of the whole organizational system. Accordingly we suggest that the hybrid model could be applied to other types of organizations, such as military peacekeeping operations and joint task forces. Along with providing insight about organizations, the methodology supports the analysis of the "after action review" (AAR), based on collection of data obtained from the command and control systems or the so-called training scenarios. Furthermore, a rich set of mathematical measures arises from the hybrid models such as triad census, dyad census, eigenvalues, utilization, feedback loops, etc., which provides a strong foundation for studying an emergency management organization. Future research will be necessary for analyzing real data and validating the proposed methodology.Ph.D.
Other
Engineering and Computer Science
Modeling and Simulation
29
Drira, Wassim. "Secure collection and data management system for WSNs." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00814664.
Full textAbstract:
Nowadays, each user or organization is already connected to a large number of sensor nodes which generate a substantial amount of data, making their management not an obvious issue. In addition, these data can be confidential. For these reasons, developing a secure system managing the data from heterogeneous sensor nodes is a real need. In the first part, we developed a composite-based middleware for wireless sensor networks to communicate with the physical sensors for storing, processing, indexing, analyzing and generating alerts on those sensors data. Each composite is connected to a physical node or used to aggregate data from different composites. Each physical node communicating with the middleware is setup as a composite. The middleware has been used in the context of the European project Mobesens in order to manage data from a sensor network for monitoring water quality. In the second part of the thesis, we proposed a new hybrid authentication and key establishment scheme between senor nodes (SN), gateways (MN) and the middleware (SS). It is based on two protocols. The first protocol intent is the mutual authentication between SS and MN, on providing an asymmetric pair of keys for MN, and on establishing a pairwise key between them. The second protocol aims at authenticating them, and establishing a group key and pairwise keys between SN and the two others. The middleware has been generalized in the third part in order to provide a private space for multi-organization or -user to manage his sensors data using cloud computing. Next, we expanded the composite with gadgets to share securely sensor data in order to provide a secure social sensor network
30
Abdulrahman, Ruqayya. "Multi agent system for web database processing, on data extraction from online social networks." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5502.
Full textAbstract:
In recent years, there has been a flood of continuously changing information from a variety of web resources such as web databases, web sites, web services and programs. Online Social Networks (OSNs) represent such a field where huge amounts of information are being posted online over time. Due to the nature of OSNs, which offer a productive source for qualitative and quantitative personal information, researchers from various disciplines contribute to developing methods for extracting data from OSNs. However, there is limited research which addresses extracting data automatically. To the best of the author's knowledge, there is no research which focuses on tracking the real time changes of information retrieved from OSN profiles over time and this motivated the present work. This thesis presents different approaches for automated Data Extraction (DE) from OSN: crawler, parser, Multi Agent System (MAS) and Application Programming Interface (API). Initially, a parser was implemented as a centralized system to traverse the OSN graph and extract the profile's attributes and list of friends from Myspace, the top OSN at that time, by parsing the Myspace profiles and extracting the relevant tokens from the parsed HTML source files. A Breadth First Search (BFS) algorithm was used to travel across the generated OSN friendship graph in order to select the next profile for parsing. The approach was implemented and tested on two types of friends: top friends and all friends. In case of top friends, 500 seed profiles have been visited; 298 public profiles were parsed to get 2197 top friends' profiles and 2747 friendship edges, while in case of all friends, 250 public profiles have been parsed to extract 10,196 friends' profiles and 17,223 friendship edges. This approach has two main limitations. The system is designed as a centralized system that controlled and retrieved information of each user's profile just once. This means that the extraction process will stop if the system fails to process one of the profiles; either the seed profile (first profile to be crawled) or its friends. To overcome this problem, an Online Social Network Retrieval System (OSNRS) is proposed to decentralize the DE process from OSN through using MAS. The novelty of OSNRS is its ability to monitor profiles continuously over time. The second challenge is that the parser had to be modified to cope with changes in the profiles' structure. To overcome this problem, the proposed OSNRS is improved through use of an API tool to enable OSNRS agents to obtain the required fields of an OSN profile despite modifications in the representation of the profile's source web pages. The experimental work shows that using API and MAS simplifies and speeds up the process of tracking a profile's history. It also helps security personnel, parents, guardians, social workers and marketers in understanding the dynamic behaviour of OSN users. This thesis proposes solutions for web database processing on data extraction from OSNs by the use of parser and MAS and discusses the limitations and improvements.
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Pei-HanKuan and 官姵涵. "Social Network Cloud Marketing Information System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/w9x5eg.
Full textAbstract:
碩士國立成功大學
製造資訊與系統研究所
103
With the growing popularity of social media, the development of Facebook and Line have been taken as a useful tool to broadcast information and build up network with people. Social media platforms provide many kinds of services for its users to stay connected with new people, share opinions with people and keep in touch with old friends and colleagues. This study proposes a framework for developing Social Network Cloud Marketing Information System. There are three main tools are embedded in the system: (1) Facebook Social Plugin (Facebook Like Button, Facebook Share Button, Facebook Send Button and Facebook Follow Button); (2) Line functions (Line Button, Line add us as friend function); (3) Webcam and chat room.
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Chiu, Wen-Kuan, and 邱文寬. "Social Network Based Tourist Recommendation System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/43421837965886354843.
Full textAbstract:
碩士國立臺灣師範大學
資訊工程學系
102
Facebook is the most influential community platform in the world; according to the statistics officially released by Facebook, up to the third quarter of 2013, the number of active users has reached 1,190 millions. With the growth of users, Facebook has become a producer of Big data, and the vast amount of status updates posted by users, which conceal all kinds of useful information, have triggered many research projects focus on Facebook parameters such as the like count, the group count, etc. This research is based on Facebook communities. Through the analyses of the SCAN clustering algorithm, the users would be able to understand the relationships and connections between their mutual friends as stated in the results of grouping. Besides, the results of grouping have combined the Big Five personality model. By means of Facebook parameters, users can easily find out the personality traits of their friends. In this research, FQL was adopted to obtain the information of users themselves and friends around them for further analyses. When the number of friends is increasing, the SCAN clustering algorithm can improve the efficiency when it comes to grouping manually on Facebook. Lastly, this system has developed an integration with tourist information for the purpose of backpacking, so suitable travel companions will be recommended according to users' travel itineraries..
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Peng, Pei-Yu, and 彭珮瑜. "A Social Network Based Online Tutoring System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/22314332303934732842.
Full textAbstract:
碩士國立交通大學
資訊科學與工程研究所
100
The utility of the online tutoring system is to enhance the learning effect. When students do not understand or behind schedule in the ordinary course, through online tutoring system to interact with tutors that can solve their problems and enhance student’s problem-solving skills. Currently, most of online tutoring systems are used authorized real-time interactive teaching system to online tuition. We want to use free substitute software for the authorized system. We found that social network sites which provide a variety of functions, so we want to integrate feature of social network site to our online tutoring system. We would like to know whether it can enhance students’ interest and learning effect or not. Google+ hangouts provides vary functions, it is suitable to be used on online tutoring activities. It is free to use, and do not need to consider the authorized problem. This system could let tutors and students do online tutoring activities anywhere, not limited at school computer lab. Tutors and students also could discuss problems or school work anytime. In this thesis, we will integrate Google+ Hangouts feature to our online tutoring system, and propose a Social Network based online tutoring system.
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"The academic social network and research ranking system." 2013. http://library.cuhk.edu.hk/record=b5884508.
Full textAbstract:
Fu, Zhengjia.Thesis (Ph.D.)--Chinese University of Hong Kong, 2013.
Includes bibliographical references (leaves 107-116).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstracts also in Chinese.
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Chien, Chun, and 簡群. "A Fast Check-in System for Social Network." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/e5u523.
Full textAbstract:
碩士國立交通大學
網路工程研究所
102
Due to the rapid growth of smart devices, many people nowadays spend a lot of time on social networking sites. One of the most popular features provided by social networking sites is allowing a user to check into a place to show friends that I am here. However, the check-in process may be long and tedious. In addition, a mobile user may not have Internet connection to check in. In this paper, we present our proposed My Visited Places (MVP) system that can greatly simplify the check-in process. A user does not need to have Internet service to check in. The proposed MVP device will check into a place on behalf of the user. The MVP system uses microphone, speaker and Bluetooth which are already there for almost all smart devices. We propose a new acoustic transmission technique to set up Bluetooth connection between user device and MVP device in a very short time, and use public key certificate to create a secure channel to transmit check-in data. The check-in process will be carried out automatically by our MVP device. We have implemented our MVP system and demonstrated it with off-the-shelf smartphones to check into Facebook and Weibo, two of the biggest social networking sites in the world. The results show that we can finish a text-only check-in in less than 5 seconds, and a photo check-in within 8 seconds.
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Lai, Guang-Cheng, and 賴冠丞. "Constructing a Reading Community System on Social Network." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/49432338034573164547.
Full textAbstract:
碩士國立新竹教育大學
資訊科學研究所
99
The report of PIRLS (Progress International Reading Literacy Study) indicated that the average time of Taiwanese students’ reading extracurricular books is lower than the international average. It shows that the reading habit of students in Taiwan need to be improved. Meanwhile, many researches also indicated that students would like to spend more time in internet than reading. Therefore, in order to change this situation, a program called “Reading Certification” (RC) was held in National Hsin-chu University of Education and promoted students to read. In the RC program, students still have some problems in reading, for example, it is difficult to choice a book which is adaptive with students’ reading ability and interesting, furthermore, students felt lonely when reading. Therefore, this paper proposed a virtual reading community in internet social network – Facebook. Facebook is the social network which has the fastest growth of the members in recent years. Using the traits of social network can make users find their relatives and friends effectively, and connect everyone and every group in the whole world through all kinds of relationship. This paper has referred to many studies regarding reading behaviors in order to improve of Taiwanese students’ reading habits. Students could choice adaptive books to read with the help of virtual reading community. At the same time, they can build and share a personal electronic reading portfolio on the internet with other readers. A comments and feedback mechanism was also proposed for promote the interactions between the readers and communities and break the reading loneness.
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Chen, Ssu-Hua, and 陳思樺. "A Novel Recommender System based on Social Network." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/10819123061308453545.
Full textAbstract:
碩士東吳大學
資訊管理學系
104
With the change of cross-people communication, people use online social network widely to make social connection closely with friends who are online or in real world. Many famous brands adopt Facebook Fan Page as main interactive marketing media with their users. Online social network media are getting more convenient and important. Due to user’s sparse interactive behaviors on online social network, the effect of social recommendation is not good. On the other hand, the new user/item without any historical record causes the insurmountable cold-start problem. Users are spending much time to deal with huge and complex data at the same time. This research studies on movie recommendation system by using collaborative social network filtering in order to effectively reduce the searching process and increase benefit of filtering mass notifications from social media. By analyzing varies social interactive behaviors of users and adopting Collaborative Filtering Based Social Recommender Systems, it will find the nearest neighbor of active users through integrated user similarity. According to the movie selected by friends with similar social habit, we provide users with the customized movie recommendation model which meets their interest. For new members or one-time members, the popular and influential endorsers provide them with movie recommendations to increase the chance of reading and interactive with social group. We estimate the method generalized from the data of Facebook Movie Fan Pages. The experiment result shows that the Integrated User Similarity Method is more precise than the current Collaborative Filtering Based Social Network Recommendation in terms of Precision rate, Recall rate and F1-Measure. The method dramatically increases the performance of recommendation in social network. Through the preference of friends with the social similarity habits, it will overcome the situation of sparse data. Through the popular and influential endorsers, it will effectively solve the problem of Cold Start.
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Chen, Jia-Wun, and 陳佳雯. "A Movie Recommender System with Social Tags and Social Network Technologies." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/38115512725769550977.
Full textAbstract:
碩士國立高雄應用科技大學
資訊管理研究所碩士班
101
Recently, social network technologies have been applied to recommender systems in many studies. The previous studies also showed that social network (SN) information can improve the quality of recommendation result. Social tag is one of mechanism applied to social network studies. Some studies revealed that tag information, which implies user's important personal interests and preferences information, can be used to support personalized recommendation for users. Therefore, the purpose of this study is to construct a movie recommender system with social tags and SN technologies. A total of 42 participants were recruited in this experiment. The questionnaires with five-point Likert scale were used for evaluating system usage and satisfaction. The result showed that a majority of the users were satisfied with the services of the proposed system. Besides, three measurements, mean absolute error (MAE), mean absolute percentage error (MAPE) and hit rate, were used for the evaluation of this system performance. The experimental result showed the proposed method in this study (MAE = 0.49; MAPE = 14.37%; hit-rate = 55.87%) is better than other three recommender methods, such as the TidalTrust method. This study demonstrates that combining a SN mechanism and preference information for a recommender system can improve the recommendation quality.
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Lin, Hsiu-Chuan, and 林修全. "The Client System and the Authentication System of Social Network Games." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/83427597658766124569.
Full textAbstract:
碩士國立交通大學
資訊學院資訊科技(IT)產業研發碩士專班
100
In this thesis, we study a network game client suited for social network platform. The criteria of this platform include security, scalability and multi-language support. In this platform, game developers only need to concentrate on the game-related design and pay little attention to non-game-related design, such as the detail of system-related design. Such a framework will greatly reduce the cost of game development. Then through the combination with social platform, we can increase the game exposure.
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Chao-HsienHsieh and 謝兆賢. "Design and Implementation of a Social Service System for Social Network Activities." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/58283886145209258488.
Full textAbstract:
博士國立成功大學
資訊工程學系
103
Traditional face-to-face social activities, when extended to the Internet community, brings forth many new applications. They not only help maintain the relationship among people but also expands the range of personal social circle. In such a social network, a person possessing the capability of persuading people and influencing them is called the Internet Popular Opinion Leader (iPOL). This study developed several subsystems for trained iPOLs in order to enhance their exposure and increase their followers. It also further analyzed the effect of iPOL. In our study, electronic name cards were used to enhance social exposure, then IPS and AVOD were used to increase social followership. IPS can handle text, sound, or video files in real-time, making it more convenient for followers to use, and this attracts more followers to join in. AVOD attracts participation of more followers by providing multimedia films. Finally, with regard to impact analysis of iPOL, we studied the gay community in order to assess the impact of iPOL. This case was considerably effective in disseminating HIV-related information, improving the frequency of anonymous HIV testing, and reducing high-risk behavior among Internet-using MSM.
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Hsiao, Wan-Lin, and 蕭琬玲. "Social Network Analysis on Stakeholders of Reverse Mortgage System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/28591903055269900247.
Full textAbstract:
碩士國立臺灣大學
建築與城鄉研究所
100
Facing to the trend of population aging, Taiwan plans to implement the soc-called "reverse mortgage system" in 2012 in order to improve the economic security for the elderly population. Since public policy involves conflicts among different stakeholders, feasibility of a new policy has to be analyzed from the viewpoint of different stakeholders. In addition to the establishment of stakeholder network system, by use of social network analysis software (UCINET), the commonality, complement, and the possibility of cooperation among stakeholders are analyzed. Both “in-depth interview” and “network analysis” are applied to investigate the impacts of “reverse mortgage system” on different stakeholders in three aspects. (1) Regarding to the social aspect, the system provides the elder who are also the economical disadvantaged one option of economical source; however, there are actually contradictions and conflicts existing between the social-welfare-oriented group with the same interests and the finance-industry- oriented one. That leads to some barriers for the government to design the system. (2) Regarding to the government aspect, many stakeholders recognize that the central government as the crucial decision maker and the stakeholder to affect the promoting of the system. (3) The government plays the role to lead and educate the people and has the responsibility to design the mechanism to solve social problems. In terms of the finance-industry-oriented group with same interests, it not merely has to face to uncertainty risks, but has some conflicts with the social-welfare-oriented group. The previous one has to play the role to communicate and negotiate among different groups, and to have a closer cooperation relationship with the government. It is suggested that further analysis on the relationships among different stakeholders should be conducted in the future researches in order to develop a more efficient system with social equity sufficiently considered.
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"Establishing Distributed Social Network Trust Model in MobiCloud System." Master's thesis, 2011. http://hdl.handle.net/2286/R.I.14405.
Full textAbstract:
abstract: This thesis proposed a novel approach to establish the trust model in a social network scenario based on users' emails. Email is one of the most important social connections nowadays. By analyzing email exchange activities among users, a social network trust model can be established to judge the trust rate between each two users. The whole trust checking process is divided into two steps: local checking and remote checking. Local checking directly contacts the email server to calculate the trust rate based on user's own email communication history. Remote checking is a distributed computing process to get help from user's social network friends and built the trust rate together. The email-based trust model is built upon a cloud computing framework called MobiCloud. Inside MobiCloud, each user occupies a virtual machine which can directly communicate with others. Based on this feature, the distributed trust model is implemented as a combination of local analysis and remote analysis in the cloud. Experiment results show that the trust evaluation model can give accurate trust rate even in a small scale social network which does not have lots of social connections. With this trust model, the security in both social network services and email communication could be improved.Dissertation/Thesis
M.S. Computer Science 2011
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Chang, Kun-Hsiang, and 張焜翔. "A social network integrated service system using robot programs." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/40176440581332177773.
Full textAbstract:
碩士銘傳大學
資訊傳播工程學系碩士班
101
Internet has being connecting the computers around the world and network services provide a platform for transferring information. Web applications become the most popular network services. Social web sites such as Facebook have been growing rapidly and dominate the web services over the last few years, thus developing the social network. It will be very useful to integrate the resources of various social web sites including members and interacted data. Network robot programs are designed to automatically browse the web sites as human beings. In this thesis we develop an integrated social service by using crawl programming skills. The robot programs are designed to be able to automatically login the social network and then perform the work by exploring the social members and exchanged information, and thus achieve the goal of social computing. The major integrated services are message announcing, Q&A, and Searching. Message announcing service uses robot programs to post important message on the social network to deliver the information to users. Q&A service applies robot programs to spread the questions to online users of the social network and instantly get the answers back from members. Searching service runs robot programs to extract and filter information from social network. Mobile apps and web pages are developed in this project to provide users with friendly and feasible interfaces to access the integrated social services. The power and benefit of social services are present in this project to accomplish the goal of the social computing.
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Ye, Pei-Chin, and 葉培琴. "A Carpooling Recommendation System Based on Social Network Relationships." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/00622347726900156938.
Full textAbstract:
碩士國立高雄第一科技大學
資訊管理研究所
101
In this study, we propose a carpooling recommendation model based on the interpersonal relationships derived from social networks. We believe the interpersonal trust is a critical factor to inspire the ride behavior in a carpooling recommendation system. By using the concept of hierarchical semantic network for calculating the attribute weights based on the frequency of interaction in online social networks, interpersonal relationships can be reasonably evaluated. The other parts, we analyze similar path using Web GIS and spatial database to search whose travel similar with the others. Using these path from users provided travel, we will store and reduce it in spatial database. Then, buffing the target path and key point from the others path, and then pick out the key point which have intersection with the target path. Thus, our system will output the similar travel for carpool users. By taking into account recommendations from common friends, new relationships can be established, and the degree of trust can be promoted, which implies the trust weights of interpersonal relationships can be rationally verified. Finally, our approach collects the similar itineraries and generates the recommendation result by using the skyline operation. Our model enhances the degree of trust for users and in turn encourages more ride behaviors, which creates a core value of carpooling in terms of the user experience and trust relationships.
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Chao, Po-Hsuan, and 趙博炫. "A novel advertisement broadcasting system on social network website." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/35470095734179312311.
Full textAbstract:
碩士東吳大學
資訊管理學系
104
Most people spend lots of time on social media. The social network websites become an important marketing platform. The proxy companies will broadcast the advertisement according to users’ preference. This study combined opinion mining and recommender system to propose a novel advertisement broadcasting technique. The problem of cold start will be solved by finding the opinion leader. The experiment will collect data from one of Facebook fan pages, IMDb, post many news about movies. In the future, these projections will appear in the ad column Fan Page. In this study, we use technology of data mining, to identify characteristic word posts within the topic, including the name of the movie and the names, then we can use that to mark tag with each Post. We use the Aspect expert systems、an emoticon dictionary and abbreviations dictionary to find every comment under each Posts in the positive and negative speech, then using the favorite score calculation of the present study were to determine each having press '' Like '' with a comment for the user preferences of each Post,and then to extend to the user for what type of movie or star preferences, thereby to obtain the user's preferences, then we can get output per user a preference list of the sort including movies type and the star . We use the preference list to explore the three recommended ways for:(i) The stars name first then movie type, (ii) the move type list first then stars name, and (iii) to sort preference score. we use Precision, Recall , F1-Measure to proving , and then ,we find plan (i) recommended way is closest real user preferences. On the other hand, we using three thresholds proposed in this study: Average number of comments per person threshold, Average number of pressed Like per comments threshold, Average number of reply per comments threshold and with two indicators: the most effective comments, the comment is pressed Like the maximum number to find the opinion leaders, and get the list of recommendation after their personal preferences list integration, we use the list is used to recommend to the new users to solve the cold start and sparse data problem.
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Yu-FuLin and 林于富. "Design and Implementation of Travel System with Social Network." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/86164526427670308720.
Full textAbstract:
碩士國立成功大學
電腦與通信工程研究所
100
Due to the development of the network, each industry must be changed to provide services to consumers. All services have to be online service. And combined with social networks and database applications with these factors, this thesis hopes to understand the spending habits of consumers, and come up with better recommendation service. In this thesis system will provide industry and consumers, a win-win website system. This thesis is focused on the travel industry, to design and implement an online travel website recommendation system. Not only the function of the general travel websites, also to calculate each member's travel record. Use the concept of social networks and databases, propose a relation function. This function can find the true friendship between each member. Finally, analyzing the true travel record and finding the friendship. And use the friendship to recommend travels.
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Tseng, Chih-Chao, and 曾致超. "Implement a Social Network Information Query System by Semantic Web." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/sjs3t5.
Full textAbstract:
碩士大同大學
資訊經營學系(所)
102
By conducting literature review in definition of social network services , types of social network services , social network api , sementic web technologies and application framework of semantic web. This paper also provides literature review in research papers of semantic web in the world. This paper will use Sesame Application Framework and Spring Social Framework to develop the Social Network Query System , which include handles the OAuth1/OAuth2 authorization flow between Social Network Query System, social network service provider and users , retrieving information from Facebook,Twitter and Linked In ,and use Sesame Framework to transform social network information into RDF format , and creating a RDF store on a cloud-based architecture to establish RDF insert,update,delete mechanisms by the OWLIM on The Cloud Services , finally , Social Network Query System will provide query functions to users for querying Social Network Informations by executing SeRQL Query Language .
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張富雄. "The library guide and social network system on mobile devices." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/98667498635342057074.
Full textAbstract:
碩士國立新竹教育大學
資訊科學研究所
98
Library is a place with mass of resource reposited for knowledge sharing. Some classification methods were employed in libraries for providing readers an efficient way of searching and obtaining the resources what they need. For example, Dewey Decimal Classification (DDC) is the most famous and popular one. However, recent researches indicate that users still have the lost-way problem and spend much time in way finding and locating. Therefore, this paper proposed a new library guide system on handheld devices for assisting readers searching book and locating the readers and resources. The augmented reality technique is also included for guiding readers to find out the best way approaching the resource. This novel user interface will illustrate readers an immediately perception to recognize the resource direction which is much easier than reading the library maps. Meanwhile, readers’ and resources location information is encoded into the QR code that is readable by most of handheld devices. That supports the abstract or other readers’ comments of each resource, and assists readers to find out the correct resources. The results show that the searching time of using this system is much less than using the library maps. Furthermore, readers felt they could obtain the correct resources by reading abstracts and comments from social network on handheld devices immediately.
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Hsiao, Wen Hsiung, and 蕭文雄. "Relational Recommender System of Social Network for Last.fm Music Platform." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/19425241104579031058.
Full textAbstract:
碩士實踐大學
資訊科技與管理學系碩士班
97
Due to the rapid development of the Web 2.0 network application technologies, there are many added values have been adapted to the network applications. This novel technology is achieved by using four parts: the social network platform such as MySpace, Google, Flickr, and facebook, open sources, the OpenID, and the application programming interface (API). The above mentioned technologies let application developers more easily to design the novel network technologies so that achieve a more popular network added applications. The most common scheme to construct relationship among friends adopts the way of familiar friends. However, using the possible or similar classes and proper behaviors to construct relations are insufficient. In order to increase the efficiency of the web social network servers, this thesis uses the certification mechanism issued from the social network platform, which offers the API authentication functions and methods, to understand and analyze users’ behaviors and establish the relationship with the similar attributes or categories. Furthermore, by gathering and analyzing the user information to construct the relationship among attributive connections for building a suitable recommendation mechanism for recommendation services. In this thesis, we based on the Last.fm music platform for analysis and comparison target, and want to organize the attributes, categories and adaptive recommendation systems to provide polybasic services. The experiment shows that users get high priority of recommendation when their music types and album names are the same. In this thesis, we have compared with Last.fm platform and based on the run time, accuracy, and factors of the social network analyses.
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Chen, Hui-ju, and 鄭惠如. "Hot Video Prediction System Based on User Interesting Social Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/85149322249038255806.
Full textAbstract:
碩士國立臺灣科技大學
資訊工程系
96
Content-targeted advertising is a popular advertising strategy. The goal of content-targeted advertising is to associate ads with appropriate web contents that can reach a large number of targeted customers. However, searching hot videos by analyzing video contents will cause higher False Positive Rate, due to the characteristics of videos: massive amounts, fast update, and redundancy. Besides, searching hot videos by analyzing insufficient time-series data causes lower accuracy, due to online video’s fast burst and obsolescence nature. For improving the accuracy of prediction, we utilize user social context to alleviate the variation of video content and to improve the insufficient data problem in early prediction stage. In this paper, the UISN is constructed to represent the hot videos’ tendency by modeling user interest relation. The main idea of the proposed system is to identify cohesive subgroups of users with similar interests, so that it can be utilized to predict possible online videos that most people might feel interested. Finally, the UISN is adapted to new change of user interest over time. By using UISN to enhance insufficient information in early prediction stage, the proposed system can effetely predict hot videos. In addition, UISN can alleviate hot video prediction inaccuracy caused by the characteristics of online videos. Furthermore, by adapting user interest change and filtering noisy users, the FP-rate can be controlled under 2%, in the meanwhile; video prediction accuracy is slightly decrease.