Dissertations / Theses on the topic 'Social network'

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1

Kyrychok, B. V. "Social network." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33691.

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Social networking online involves using Websites to share information with others and connect with them by creating a profile that may include a personal Webpage and a blog. Social networking sites allow users to add friends, send messages and comment on others' profile pages. Social networking has many negatives and positives impact. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33691
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2

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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3

Torchi, Ilaria. "MOBILE SOCIAL NETWORK: dalle RETI SOCIAL al SOCIALE in RETE." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15415/.

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I Mobile Social Network consentono alle persone di connettersi fra di loro, condividere interessi comuni, opinioni, informazioni e media. Il fattore alla base che accomuna tutti i tempi è sempre la relazione: gli uomini hanno il bisogno vitale di stare con gli altri e se per farlo, oltre che scambiando foto e video, si trovassero delle vie concrete per crescere in solidarietà ed aumentare il bene comune? Nasce così il desiderio di affrontare lo studio di questa tesi facendo ricerca ed esplorazione attraverso tre tappe ben precise. Il titolo “MOBILE SOCIAL NETWORK: dalle RETI SOCIAL al SOCIALE in RETE” racchiude le tre parti e nell’ordine in cui vengono esposte. Nella prima “Mobile Social Network”, si è affrontata la parte teorica e tecnica che spiega chi sono e come sono fatti i MSN; quindi dalla loro definizione fino all’illustrazione dei componenti, delle architetture e dagli ambiti di applicazione. Nella seconda sezione, “dalle Reti Social” si raccontano i protagonisti social più famosi di oggi attraverso una rassegna sviluppata per punti, ovvero le caratteristiche a fattor comune dei MSN stessi. Nella terza sezione, “al Sociale in Rete”, si sperimenta l’ambito del solidale percorrendo una approfondita ricerca sul web di tutte le possibili applicazioni MSN esistenti che abbiano uno scopo solidale per giungere così alla conclusione della tesi che consiste nella presentazione di un progetto che si propone la creazione di un’app solidale per un’associazione che opera a sostegno di persone in difficoltà: “ARCA MOBILE” una piattaforma per far incontrare domanda ed offerta dove protagonisti sono gli arredi, a sostegno di persone disagiate che non hanno la possibilità di arredare casa o reperire un mobile di cui necessitano.
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4

Araújo, Ricardo Matsumura de. "Memetic networks : problem-solving with social network models." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/25515.

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Sistemas sociais têm se tornado cada vez mais relevantes para a Ciência da Computação em geral e para a Inteligência Artificial em particular. Tal interesse iniciou-se pela necessidade de analisar-se sistemas baseados em agentes onde a interação social destes agentes pode ter um impacto no resultado esperado. Uma tendência mais recente vem da área de Processamento Social de Informações, Computação Social e outros métodos crowdsourced, que são caracterizados por sistemas de computação compostos de pessoas reais, com um forte componente social na interação entre estas. O conjunto de todas interações sociais e os atores envolvidos compõem uma rede social, que pode ter uma forte influência em o quão eficaz ou eficiente o sistema pode ser. Nesta tese, exploramos o papel de estruturas de redes em sistemas sociais que visam a solução de problemas. Enquadramos a solução de problemas como uma busca por soluções válidas em um espaço de estados e propomos um modelo - a Rede Memética - que é capaz de realizar busca utilizando troca de informações (memes) entre atores interagindo em uma rede social. Tal modelo é aplicado a uma variedade de cenários e mostramos como a presença da rede social pode melhorar a capacidade do sistema em encontrar soluções. Adicionalmente, relacionamos propriedades específicas de diversas redes bem conhecidas ao comportamento observado para os algoritmos propostos, resultando em um conjunto de regras gerais que podem melhorar o desempenho de tais sistemas sociais. Por fim, mostramos que os algoritmos propostos são competitivos com técnicas tradicionais de busca heurística em diversos cenários.
Social systems are increasingly relevant to computer science in general and artificial intelligence in particular. Such interest was first sparkled by agent-based systems where the social interaction of such agents can be relevant to the outcome produced. A more recent trend comes from the general area of Social Information Processing, Social Computing and other crowdsourced systems, which are characterized by computing systems composed of people and strong social interactions between them. The set of all social interactions and actors compose a social network, which may have strong influence on how effective the system can be. In this thesis, we explore the role of network structure in social systems aiming at solving problems, focusing on numerical and combinatorial optimization. We frame problem solving as a search for valid solutions in a state space and propose a model - the Memetic Network - that is able to perform search by using the exchange of information, named memes, between actors interacting in a social network. Such model is applied to a variety of scenarios and we show that the presence of a social network greatly improves the system capacity to find good solutions. In addition, we relate specific properties of many well-known networks to the behavior displayed by the proposed algorithms, resulting in a set of general rules that may improve the performance of such social systems. Finally, we show that the proposed algorithms can be competitive with traditional heuristic search algorithms in a number of scenarios.
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5

Schuhart, Russell G. "Hacking social networks examining the viability of using computer network attack against social networks." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion.exe/07Mar%5FSchuhart.pdf.

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Thesis (M.S. in Information Systems and Operations)--Naval Postgraduate School, March 2007.
Thesis Advisor(s): David Tucker. "March 2007." Includes bibliographical references (p. 55-56). Also available in print.
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6

Vallapu, Sai Krishna. "Towards Network False Identity Detection in Online Social Networks." Thesis, Southern Illinois University at Edwardsville, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10246101.

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In this research, we focus on identifying false identities in social networks. We performed a detailed study on different string matching techniques to identify user profiles with real or fake identity. In this thesis, we focus on a specific case study on sex offenders. Sex offenders are not supposed to be online on social networking sites in few states. To identify the existence of offenders in social networks, we ran experiments to compare datasets downloaded from Facebook and offender registries. To identify the most suitable string matching technique to solve this particular problem, we performed experiments on various methods and utilized the most appropriate technique, the Jaro-Winkler algorithm. The major contribution of our research is a weight based scoring function that is capable of identifying user records with full or partial data revealed in social networks. Based on our data samples created using metadata information of Facebook, we were able to identify the sex offender profiles with real identity and seventy percent of the sex offenders with partial information.

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7

You, Bo. "Hub-Network for Distance Computation in Large Social Networks." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1412601464.

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8

Sun, Lei. "Mobile Social Network Platform." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-344871.

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The SWiN project is an abbreviation for Social Wireless Network Secure Identification project and it primarily focuses on the security issues of social networks on mobile platforms. This master thesis is a part of the SWiN project from SICS(Swedish Institute of Computer Science) in cooperation with Ericsson and Sony. In this thesis project, we have designed and implemented a social networkingprototype called Friend Finder. This prototype integrates different security solutions such as SAML and GBA to test the performance of them.
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9

Shaikh, Sajid S. "Computations in social network." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1185560088.

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10

Vetro, Carla. "La social network analysis nella valutazione delle politiche sociali." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/341.

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2009 - 2010
Il tema della valutazione emerge periodicamente nella discussione politica italiana. L’azione del valutare, che rappresenta ormai un’operazione ricorrente nella vita quotidiana, diviene una pratica consolidata anche in seno alle istituzioni pubbliche, indispensabile per costruire un giudizio sul funzionamento delle politiche stesse. La pratica valutativa si rivela, però, difficile da applicare in contesti complessi e dinamici come quelli che caratterizzano gli interventi nel sociale, dove la complessità attiene alla eterogeneità e pluralità di attori coinvolti e alla multiproblematicità dei bisogni territoriali. Quando la riuscita di una politica di intervento dipende non solo dalle capacità di coordinamento dall’alto, cioè di chi programma gli interventi sociali e offre i servizi per rispondere ai bisogni di una comunità, ma anche dalla volontà e dalla partecipazione dal basso, cioè di chi fruisce degli interventi, risulta chiaro quanto un processo di valutazione diventi complesso. In tali situazioni, le tecniche della Social Network Analysis (di seguito analisi delle reti sociali) risultano particolarmente adatte a rilevare, studiare ed interpretare le interazioni di tutti gli attori coinvolti in uno o più interventi di politica sociale. Tali tecniche di analisi vengono utilizzate sempre più spesso nella ricerca valutativa, in quanto si presuppone che ci possa essere una relazione fra le caratteristiche della rete, costituita dagli attori sociali coinvolti nell’attuazione di un programma, e l’efficacia del programma stesso. [a cura dell'autore]
IX n.s.
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11

Vecchiato, Francesca <1981&gt. "ICT, Social Network ed Inclusione Sociale. Ricerca e progetto." Master's Degree Thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/2288.

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L'Unione Europea a partire dal Consiglio europeo di Lisbona (2000) ha posto come obiettivi della sua politica di "diventare l'economia basata sulla conoscenza più competitiva e dinamica del mondo, in grado di realizzare una crescita economica sostenibile con nuovi e migliori posti di lavoro e una maggiore coesione sociale […] al fine di sostenere l'occupazione, le riforme economiche". La ricerca che qui viene presentata è il risultato del progetto europeo ShareIT che ha avuto come finalità la promozione, attraverso una cooperazione interregionale tra i diversi Stati partecipanti, degli obiettivi generali posti nelle linee politiche europee. Sono riportati i risultati e le analisi critiche della ricerca relative al progetto realizzato in particolare nel Comune di Venezia. Le ICT e i social network sono sempre più diffusi in ogni aspetto della vita quotidiana ed è per questo che possono rivelarsi uno strumento efficace e positivo per promuovere l'inclusione sociale delle fasce marginali della popolazione come ad esempio anziani, migranti, donne, disabili. Data l'importanza di queste nuove forme di comunicazione il progetto va ad indagare se la e-inclusion di un determinato gruppo vulnerabile, nel nostro caso quello degli adolescenti migranti neoarrivati e di seconda generazione, sia una via percorribile per produrre una reale inclusione sociale.
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12

Moore, John David. "Making Sense of Networks: Exploring How Network Participants Understand and Use Information From Social Network Analysis." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/103640.

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically provides a range of information to network managers including network plots. The network plots provide visual representations of different aspects of the network by showing the kinds of ties between the actors in the network. The information from network analyses can help network managers encourage systems thinking, see the different roles played by organizations, or identify links to outside resources among many other uses, but "will only have practical value to communities if it can be effectively presented, discussed, accepted, and acted on by community leaders and network participants [emphasis added]." (Provan et al., 2005, p. 610). However, little is currently known about if or how the information embedded in network plots is accepted or acted on by network participants. The visual representations of the network (network plots) provided to network participants following a SNA are often open to a range of interpretations that may or may not align with the findings of the analyst or the intended use by network managers, raising many interesting questions. Little is currently known about how differently situated network participants might interpret the same network plots differently. Nor do we understand what factors might influence different individuals or organizations to come up with different interpretations. After conducting a SNA and presenting it to network participants, I conducted interviews with a range of different representatives from participating organizations. I used a particular form of semi-structured interview, a situated micro-element interview from Dervin's Sense Making Methodology (SMM) (Dervin, Foreman-Wernet, and Lauterbach, 2003). I then analyzed the interview transcripts using standard qualitative coding methods (Bailey, 2007) to see if themes emerged that addressed the research questions. I found that most informants had trouble extracting information and meaning from their examination of the plots without that meaning and interpretation being provided by the expert analyst. I posit some potential explanations for why that might be so in the case I studied. I then turn to some interesting methodological considerations that emerged from taking the perspectives of network participants seriously. Finally, I synthesize the subject area and methodological findings into a refined framework for sense-making around network plots and offer propositions and potential approaches for future research.
Doctor of Philosophy
Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically provides a range of information to network managers including network plots. The network plots provide visual representations of different aspects of the network by showing the kinds of ties between the actors in the network. The information from network analyses can help network managers encourage systems thinking, see the different roles played by organizations, or identify links to outside resources among many other uses, but "will only have practical value to communities if it can be effectively presented, discussed, accepted, and acted on by community leaders and network participants [emphasis added]." (Provan et al., 2005, p. 610). However, little is currently known about if or how the information embedded in network plots is accepted or acted on by network participants. The visual representations of the network (network plots) provided to network participants following a SNA are often open to a range of interpretations that may or may not align with the findings of the analyst or the intended use by network managers, raising many interesting questions. Little is currently known about how differently situated network participants might interpret the same network plots differently. Nor do we understand what factors might influence different individuals or organizations to come up with different interpretations. After conducting a SNA and presenting it to network participants, I conducted interviews with a range of different representatives from participating organizations. I used a particular form of semi-structured interview, a situated micro-element interview from Dervin's Sense Making Methodology (SMM) (Dervin, Foreman-Wernet, and Lauterbach, 2003). I then analyzed the interview transcripts using standard qualitative coding methods (Bailey, 2007) to see if themes emerged that addressed the research questions. I found that most informants had trouble extracting information and meaning from their examination of the plots without that meaning and interpretation being provided by the expert analyst. I posit some potential explanations for why that might be so in the case I studied. I then turn to some interesting methodological considerations that emerged from taking the perspectives of network participants seriously. Finally, I synthesize the subject area and methodological findings into a refined framework for sense-making around network plots and offer propositions and potential approaches for future research.
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13

Moore, John. "Making Sense of Networks: Exploring How Network Participants Understand and Use Information From Social Network Analysis." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103640.

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically provides a range of information to network managers including network plots. The network plots provide visual representations of different aspects of the network by showing the kinds of ties between the actors in the network. The information from network analyses can help network managers encourage systems thinking, see the different roles played by organizations, or identify links to outside resources among many other uses, but "will only have practical value to communities if it can be effectively presented, discussed, accepted, and acted on by community leaders and network participants [emphasis added]." (Provan et al., 2005, p. 610). However, little is currently known about if or how the information embedded in network plots is accepted or acted on by network participants. The visual representations of the network (network plots) provided to network participants following a SNA are often open to a range of interpretations that may or may not align with the findings of the analyst or the intended use by network managers, raising many interesting questions. Little is currently known about how differently situated network participants might interpret the same network plots differently. Nor do we understand what factors might influence different individuals or organizations to come up with different interpretations. After conducting a SNA and presenting it to network participants, I conducted interviews with a range of different representatives from participating organizations. I used a particular form of semi-structured interview, a situated micro-element interview from Dervin's Sense Making Methodology (SMM) (Dervin, Foreman-Wernet, and Lauterbach, 2003). I then analyzed the interview transcripts using standard qualitative coding methods (Bailey, 2007) to see if themes emerged that addressed the research questions. I found that most informants had trouble extracting information and meaning from their examination of the plots without that meaning and interpretation being provided by the expert analyst. I posit some potential explanations for why that might be so in the case I studied. I then turn to some interesting methodological considerations that emerged from taking the perspectives of network participants seriously. Finally, I synthesize the subject area and methodological findings into a refined framework for sense-making around network plots and offer propositions and potential approaches for future research.
Doctor of Philosophy
Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically provides a range of information to network managers including network plots. The network plots provide visual representations of different aspects of the network by showing the kinds of ties between the actors in the network. The information from network analyses can help network managers encourage systems thinking, see the different roles played by organizations, or identify links to outside resources among many other uses, but "will only have practical value to communities if it can be effectively presented, discussed, accepted, and acted on by community leaders and network participants [emphasis added]." (Provan et al., 2005, p. 610). However, little is currently known about if or how the information embedded in network plots is accepted or acted on by network participants. The visual representations of the network (network plots) provided to network participants following a SNA are often open to a range of interpretations that may or may not align with the findings of the analyst or the intended use by network managers, raising many interesting questions. Little is currently known about how differently situated network participants might interpret the same network plots differently. Nor do we understand what factors might influence different individuals or organizations to come up with different interpretations. After conducting a SNA and presenting it to network participants, I conducted interviews with a range of different representatives from participating organizations. I used a particular form of semi-structured interview, a situated micro-element interview from Dervin's Sense Making Methodology (SMM) (Dervin, Foreman-Wernet, and Lauterbach, 2003). I then analyzed the interview transcripts using standard qualitative coding methods (Bailey, 2007) to see if themes emerged that addressed the research questions. I found that most informants had trouble extracting information and meaning from their examination of the plots without that meaning and interpretation being provided by the expert analyst. I posit some potential explanations for why that might be so in the case I studied. I then turn to some interesting methodological considerations that emerged from taking the perspectives of network participants seriously. Finally, I synthesize the subject area and methodological findings into a refined framework for sense-making around network plots and offer propositions and potential approaches for future research.
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14

Verdery, Ashton M. Entwisle Barbara. "Demography and social network differentiation." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2010. http://dc.lib.unc.edu/u?/etd,2938.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2010.
Title from electronic title page (viewed Jun. 23, 2010). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Sociology." Discipline: Sociology; Department/School: Sociology.
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15

Wu, Yucheng. "A secure mobile social network." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-189243.

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Mobile social networks are a new trend to improve the quality of our life, so they should not bring any extra burden to users. The users should not anymore be worried how to set up a secure complex password and memorize it to prove their identities. The Generic Bootstrapping Architecture is used in this thesis as a novel way of authentication. The GBA protocol allows to generate and share cryptographic keys between a mobile phone and third party service providers using the operator  as intermediary. These keys are generated transparently without any user interaction. In a traditional mobile social network, an Internet connection is compulsory but we believe this should not be a barrier in the future. An ad-hoc network may be used to communicate in a private group of friends. Thus, users need to be capable of verifying membership assertions and generating offline invitations for new friends without a connection to the social network server. Our implementation uses SAML assertions to certify group memberships and offline invitations. Beside these security solutions, a real mobile social network has been implemented, using the REST framework for communication and databases for storing information both on the client and the social network server.
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16

Buch, Wes. "Anorexia nervosa and social network." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28588.

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Aspects of the social networks of anorexic (N=34) and non-anorexic (N=35) women were examined according to hypotheses derived from social network theory and research and from the literature pertaining to anorexia nervosa. The nature of the social network was discussed from the perspective of Pattison's (1977a) psychodynamic psychosocial systems theory. Subjects were compared on selected social network variables using the Pattison Psychosocial Inventory (PPI). The California Psychological Inventory (CPI) and the Family Environment Scale (FES) were used to investigate the contribution of certain personality and environmental variables to social network variation. Statistical analyses of the difference between means were tested using the Hotelling's T² procedure followed by univariate t-tests. Analyses of proportions were performed using z-tests. The Bonferroni inequality was employed in order to reduce the probability of Type I error when determining the statistical significance of the univariate t-tests and z-tests. The null hypothesis was accepted for the majority of the results. Only one social network variable, total network size, significantly differentiated anorexic and control subjects, although several other variables were approaching statistical significance. Various contrasting explanations of the results were discussed. For example, it is possible that anorexia nervosa is not a homogeneous or singular nosological entity and does not inevitably result in predictable and largely invariant social impairment. It was proposed that recent typologies of anorexia nervosa may yield significant between-group variation in social network variables. Furthermore, social networks may vary with the degree of severity and/or chronicity of the anorexic condition. The correlational analyses produced several statistically significant results. Regarding environmental (FES) variables, both cohesion and independence were positively correlated with support from family network members. Contrary to hypotheses, however, interpersonal effectiveness (CPI) achieved only weak and non-significant correlations with social network size and support.
Education, Faculty of
Educational and Counselling Psychology, and Special Education (ECPS), Department of
Graduate
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17

Zheng, Huanyang. "SOCIAL NETWORK ARCHITECTURES AND APPLICATIONS." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/470889.

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Computer and Information Science
Ph.D.
Rather than being randomly wired together, the components of complex network systems are recently reported to represent a scale-free architecture, in which the node degree distribution follows power-law. While social networks are scale-free, it is natural to utilize their structural properties in some social network applications. As a result, this dissertation explores social network architectures, and in turn, leverages these architectures to facilitate some influence and information propagation applications. Social network architectures are analyzed in two different aspects. The first aspect focuses on the node degree snowballing effects (i.e., degree growth effects) in social networks, which is based on an age-sensitive preferential attachment model. The impact of the initial links is explored, in terms of accelerating the node degree snowballing effects. The second aspect focuses on Nested Scale-Free Architectures (NSFAs) for social networks. The scale-free architecture is a classic concept, which means that the node degree distribution follows the power-law distribution. `Nested' indicates that the scale-free architecture is preserved when low-degree nodes and their associated connections are iteratively removed. NSFA has a bounded hierarchy. Based on the social network structure, this dissertation explores two influence propagation applications for the Social Influence Maximization Problem (SIMP). The first application is a friend recommendation strategy with the perspective of social influence maximization. For the system provider, the objective is to recommend a fixed number of new friends to a given user, such that the given user can maximize his/her social influence through making new friends. This problem is proved to be NP-hard by reduction from the SIMP. A greedy friend recommendation algorithm with an approximation ratio of $1-e^{-1}$ is proposed. The second application studies the SIMP with the crowd influence, which is NP-hard, monotone, non-submodular, and inapproximable in general graphs. However, since user connections in Online Social Networks (OSNs) are not random, approximations can be obtained by leveraging the structural properties of OSNs. The modularity, denoted by $\Delta$, is proposed to measure to what degree this problem violates the submodularity. Two approximation algorithms are proposed with ratios of $\frac{1}{\Delta+2}$ and $1-e^{-1/(\Delta+1)}$, respectively. Beside the influence propagation applications, this dissertation further explores three different information propagation applications. The first application is a social network quarantine strategy, which can eliminate epidemic outbreaks with minimal isolation costs. This problem is NP-hard. An approximation algorithm with a ratio of 2 is proposed through utilizing the problem properties of feasibility and minimality. The second application is a rating prediction scheme, called DynFluid, based on the fluid dynamics. DynFluid analogizes the rating reference among the users in OSNs to the fluid flow among containers. The third application is an information cascade prediction framework: given the social current cascade and social topology, the number of propagated users at a future time slot is predicted. To reduce prediction time complexities, the spatiotemporal cascade information (a larger size of data) is decomposed to user characteristics (a smaller size of data) for subsequent predictions. All these three applications are based on the social network structure.
Temple University--Theses
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CUNHA, MARCIO LUIZ COELHO. "CONTEXT DRIVEN THINGS SOCIAL NETWORK." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29090@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A cada dia mais e mais brasileiros possuem um telefone celular de última geração com conexão à internet. Estes novos aparelhos são capazes de ler diferentes tipos de etiquetas usadas para armazenar, recuperar e gerenciar informações, e estão conosco em toda parte para apoiar nossas tarefas diárias. Estes pequenos computadores são conscientes de seu entorno, e propícios à comunicação e colaboração com o mundo real. Devido a sua popularidade, disponibilidade e massa crítica de usuários atingida, novos serviços são desenvolvidos baseados no conceito da computação ubíqua, onde computadores e seres humanos são unificados em torno da noção de ambiente. Estes sistemas pervasivos lidam com questões de interação de contexto e reconhecimento de ambientes, e se adaptam de acordo com as preferências do usuário. Nesta dissertação são descritos o desenvolvimento e testes de usabilidade de uma rede social que é fundamentada nos conceitos da computação ubíqua e Internet das Coisas. Esta rede social, dirigida para o tema da enogastronomia, é acessível por dispositivos móveis e utiliza códigos de duas dimensões colados nas garrafas dos vinhos para através do software e da câmera do celular trazer informações de acordo com o contexto do objeto, lugar e preferência do usuário.
Every day more and more Brazilians have a next generation mobile phone with an internet connection. These new devices are able to read different types of labels used to store, retrieve and manage information; they are with us everywhere to support our daily tasks. These small computers are aware of their surroundings and propitious to communication and collaboration with the real world. Due to their popularity, availability and critical mass of users reached, new services are developed based on the concept of ubiquitous computing, where computers and humans are unified around the concept of environment. These systems deal with issues of pervasive interaction of context, recognition of environments and adapt according to user preferences. This thesis presents a description of the development and usability testing of a social network that is based on the concepts of ubiquitous computing and the Internet of Things. This social network, addressed to the theme of enogastronomy, is accessible by mobile devices and uses twodimensional codes pasted on the bottles of wine for using the software and the phone s camera to bring information in accordance with the context of the object, place and user preference.
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Chong, Yee Wai. "Social network and economic incentives /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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20

Alrashoud, Eiman. "CHILDREN’S SOCIAL NETWORK: KIDS CLUB." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/451.

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Young children often have a profound interest that if nurtured, would develop to great social cues and skills thereby improving their social aspects of life. Parents can conveniently benefit from a swift data sharing in the collaborative scrutiny of their kid's participation, in public activities facilitated through the internet digital technology. To facilitate the involvement of shared activities among children, an interactive website is essential. The aim of my project is to develop a website that is intended to be an interactive platform for a variety of events selection. Additionally, the website will aid parents in the creation, discovery and reach for organized local events that fit their kid's interests in description and age. A variety of events will be availed at the website for scrutiny in finding friends, sharing and learning new activities. Similarly, it will be used for fun engagement. The website is implemented by using Microsoft Visual Studio 2012 Professional, C# programming language, and SQL Server Management Studio 2012 to handle the data.
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Jadhav, Sanket Prabhakar. "SOCIAL NETWORK FOR SOFTWARE DEVELOPERS." CSUSB ScholarWorks, 2018. https://scholarworks.lib.csusb.edu/etd/782.

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This project is the design and implementation of a web-based message board for software developers. The purpose of “Social Network for Software Developers” is to connect inexperienced software developers with experienced software developers.
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CURZI, MIRCO. "Content based social network analysis." Doctoral thesis, Università Politecnica delle Marche, 2009. http://hdl.handle.net/11566/242305.

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Paracampo, Riccardo <1986&gt. "Sensorimotor Network in Social Cognition." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7878/1/ParacampoRiccardo_SensorimotorNetworkSocialCognition.pdf.

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Our motor and somatosensory cortices originally evolved to control our movement through the environment. In the past decade, one of the most exciting developments in cognitive neuroscience is the discovery that the same sensorimotor brain regions that are used to control our body are involved in the perception of others’ actions, sensations and emotions. Human beings are equipped with a mechanism mapping perceptual representations of actions, sensations, and emotions onto sensorimotor representations, thus, perception of others might be inherently grounded in the same brain regions involved in first-hand subjective experiences. While the notion that observing, or imagining actions, emotions, and sensations in others triggers vicarious activations in the sensorimotor network is widely accepted, evidence about the specific role of these activations in social cognition is meagre and still largely based on correlational data. The experiments included in the present thesis aim at exploring the functional role of the sensorimotor network in understanding others’ internal emotional and cognitive states. We used neuromodulation tools to interfere with brain activity in regions involved in moving and sensing the body while participants were asked to understand others’ emotions or intentions. In experiment 1 to 7 we focused on the ability to accurately understand amusement from observed smiles, while in experiment 8 to 10 we explored the ability to rate the pain felt by another individual when her/his experience is described only through text. Our results show that interference with activity within somatosensory and motor cortices impairs participants’ ability to understand others’ emotions. Combining complex naturalistic tasks to neuromodulation tools, the present thesis sheds novel light on the behavioural relevance of vicarious activations in the sensorimotor network, by establishing a strong and direct causal link between sensorimotor brain networks and others’ understanding that was only suggested in the past.
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Marangio, Alberto. "Social Network eTutela Della Persona." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/674.

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2010 - 2011
Nata dall’esigenza di indagare le più recenti problematiche emerse dai nuovi scenari individuabili in Rete, la tesi Social network e tutela della persona si sviluppa inizialmente lungo tre assi: quello diritti della personalità, nello scenario di una società rinnovata e che sempre più è andata definendosi con il trascorrere degli anni dell’informazione e della comunicazione; quello del contratto elettronico, i cui capisaldi ad oggi restano sanciti dalla direttiva 2000/31/Ce; quello della responsabilità civile on-line e del ruolo giocato in tale contesto dalla figura dell'intermediario. Tali direttive, tracciate in quella che compone la prima sezione della tesi, sono andate di seguito ricomponendosi nella seconda delle aree in cui il lavoro è suddiviso, dedicata innanzitutto ad una indagine delle varie fattispecie di reato che, con riferimento alla persona e all'inviolabilità della medesima, è possibile individuare all’interno delle dinamiche proprie dei social network (oramai diffusi in qualsiasi ambito della società, sia esso privato, commerciale o pubblico). Infine, il capitolo conclusivo punta a formulare alcune delle soluzioni che, con riferimento ai vari istituti indicati, potrebbero essere prese in considerazione in vista di una organica e strutturale regolamentazione degli illeciti e delle anomalie fino ad ora riscontrati. Ovviamente non sono state trascurate, in tale percorso, le iniziative e le proposte oramai da diverso tempo al vaglio delle istituzioni internazionali; né tuttavia è stata messe in discussione la validità dei vecchi istituti o delle categorie civilistiche tradizionali, semmai ipotizzandone al più una reinterpretazione alla luce tanto delle nuove e specifiche normative, quanto anche degli ulteriori principi riconducibili al diritto comunitario ed internazionale. Dalle valutazioni effettuate risulta dunque ancora aperto un ampio dibattito sull’approccio più idoneo circa quel patrimonio di diritti che ognuno porta con sé nelle varie attività svolte in Rete, nonché sulle caratteristiche del modello più adatto a governare la stessa; un dibattito che si spera foriero di soluzioni in grado di garantire al più presto una efficace ed appropriata tutela dei diritti fondamentali, nonché capaci di consentire (alla luce di tutte le evoluzioni della Rete che, come è facile prevedere, non tarderanno a sopraggiungere) una opportuna promozione dello sviluppo della persona sotto ogni aspetto della sua esistenza. [a cura dell'autore]
X n.s.
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Cosmo, Serena <1988&gt. "Dai Social Network alle vendite." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5317.

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I social Media hanno dimostrato, in questi ultimi anni, di avere un forte impatto nella vita quotidiana di ciascuno, ma anche in molti campi di business, come la comunicazione, il marketing aziendale e sul metodo di raggiungimento dei consumatori e il dialogo con essi. Questo lavoro ha l'obiettivo di comprendere e analizzare a fondo come i social media, in particolare i social networking site influenzano le vendite aziendali, ossia se si possa riscontrare o meno una correlazione positiva o negativa tra queste variabili. Nello specifico si sono approfonditi social quali Facebook, Twitter, Instagram, Pinterest, Google+ e LinkedIn, evidenziandone le principali e innovative caratteristiche sia dal punto di vista dell’utente, sia da quello aziendale, e le potenzialità da essi offerte in termini di comunicazione, advertising, e di interazione sociale. Iniziando da un'analisi generale relativamente al contesto internazionale, il lavoro si è poi focalizzato sul contesto strettamente italiano e i relativi social network maggiormente utilizzati, analizzando due specifici casi aziendali diversi tra loro per settore merceologico dei prodotti venduti, per il target e per i mercati a cui si rivolgono.
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ATHANASIOU, THOMAS. "Multi-dimensional analysis of social multi-networks : Analysing a 5-layer social network case study." Thesis, Uppsala universitet, Institutionen för informatik och media, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-273908.

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Network theory analysis is applicable to many scientific disciplines (fields) such as biology, statistics and sociology. The social network analysis is one of the various branches of the broader network theory analysis, the social network analysis. It is of high interest among the researchers in social sciences. Social networks have had a significant impact on human civilizations for many centuries. During the last two decades, the main academic interest was addressed towards the research and analysis of a dynamically uprising sector of social networks, the on-line networks, primarily due to the domination of the Internet and technology over human attitudes and relations in modern societies. For many years, research was emphasized on the analysis of simple social networks, whilst during the last decade several researchers started working on the analysis of more complicated social networks, which consist by several smaller social networks. There are important differences between mono and multi-dimensional network analysis. Mono-dimensional analysis provides the research with relevant knowledge. On the other hand, multi-dimensional analysis is still at initial stage. As a result, several potential models related to the multi-networks analysis cannot always provide reliable and adequate outcomes. However, due to the fact that different social networks can be easily combined and form more extended and complicated networks, it is of high importance for the researchers to advance the multi-dimensional analysis and provide more adequate analytical models. The purpose of this thesis is to present the dynamic of the multi-dimensional analysis by consecutively applying both mono and multi-dimensional analysis on a social multi-network. The findings suggest that multi-dimensional analysis can add reliable knowledge on the social network analysis, but many problems that arose due the complexity of the multi-networks structures need to be addressed.
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Wood, Samuel Bennett. "Social network coding rate control in information centric delay tolerant networks." Thesis, University of California, Santa Cruz, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1583279.

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Tactical and emergency-response networks require efficient communication without a managed infrastructure in order to meet the requirements of mission critical applications. In these networks, mobility, disruption, limited network resources, and limited host resources are the norm instead of the exception. Despite these constraints, applications must quickly and reliably share data collected from their environment to allow users to coordinate and make critical decisions. Our previous work demonstrates that applying information-centric paradigms to the tactical edge can provide performance benefits over traditional address centric approaches. We expand on this work and investigate how social relationships can be inferred and exploited to improve network performance in volatile networks.

As a result of our investigation, we propose SOCRATIC (SOCial RATe control for Information Centric networks), a novel approach to dissemination that unifies replication and network coding, which takes advantage of social content and context heuristics to improve network performance. SOCRATIC replicates network encoded blocks according to a popularity index metric that captures social relationships, and is shared during neighbor discovery. The number of encoded blocks that is relayed to a node depends on its interest in the data object and its popularity index, i.e., how often and for how long it meets other nodes. We observe that nodes with similar interests tend to be co-located and we exploit this information through use of a generalization of a data object-to-interest matching function that quantifies this similarity. Encoded blocks are subsequently replicated towards the subscriber if a stable path exists. We evaluate an implementation of SOCRATIC through a detailed network emulation of a tactical scenario and demonstrate that it can achieve better performance than the existing socially agnostic approaches.

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Junuthula, Ruthwik Reddy. "Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

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Schaefer, Cora. "Personal networks on social network sites (SNS) - Context and personality influences." [S.l. : s.n.], 2008. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009431.

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Burks, Stephen D. "Social Networks and Its Uses in Collaborative Strategies." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5094.

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In this paper, there are three policy scenarios that are explored and discussed. The first scenario comes from a dataset where little information is known about individual nodes and connection weights are placed based on the economic theory of increasing or constant returns. The second dataset was derived by taking a group of academic researchers (without any knowledge beyond co authorship alliances) working on a joint venture and exploring what combined research ventures would be most beneficial for future research outputs. More information concerning individual nodes and connections is given in this dataset, but the weights on connections are still developed according to rules of economic theory. The final set of data is developed by viewing the same co-authorship alliances as in the second scenario, but instead the data is examined more thoroughly and more accurate maps of authors connection weights are generated.
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Magnusson, Jonathan. "Social Network Analysis Utilizing Big Data Technology." Thesis, Uppsala universitet, Avdelningen för datalogi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170926.

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As of late there has been an immense increase of data within modern society. This is evident within the field of telecommunications. The amount of mobile data is growing fast. For a telecommunication operator, this provides means of getting more information of specific subscribers. The applications of this are many, such as segmentation for marketing purposes or detection of churners, people about to switching operator. Thus the analysis and information extraction is of great value. An approach of this analysis is that of social network analysis. Utilizing such methods yields ways of finding the importance of each individual subscriber in the network. This thesis aims at investigating the usefulness of social network analysis in telecommunication networks. As these networks can be very large the methods used to study them must scale linearly when the network size increases. Thus, an integral part of the study is to determine which social network analysis algorithms that have this scalability. Moreover, comparisons of software solutions are performed to find product suitable for these specific tasks. Another important part of using social network analysis is to be able to interpret the results. This can be cumbersome without expert knowledge. For that reason, a complete process flow for finding influential subscribers in a telecommunication network has been developed. The flow uses input easily available to the telecommunication operator. In addition to using social network analysis, machine learning is employed to uncover what behavior is associated with influence and pinpointing subscribers behaving accordingly.
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Fan, Yu. "Continuous time Bayesian Network approximate inference and social network applications." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1957308751&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268330625&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.
Includes abstract. Title from first page of PDF file (viewed March 8, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 130-133). Also issued in print.
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Ikhalia, Ehinome. "A malware threat avoidance model for online social network users." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/16039.

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The main purpose of this thesis is to develop a malware threat avoidance model for users of online social networks (OSNs). To understand the research domain, a comprehensive and systematic literature review was conducted and then the research scope was established. Two design science iterations were carried out to achieve the research aim reported in this thesis. In the first iteration, the research extended the Technology Threat Avoidance Theory (TTAT) to include a unique characteristic of OSN - Mass Interpersonal Persuasion (MIP). The extended model (TTAT-MIP), focused on investigating the factors that needs to be considered in a security awareness system to motivate OSN users to avoid malware threats. Using a quantitative approach, the results of the first iteration suggests perceived severity, perceived threat, safeguard effectiveness, safeguard cost, self-efficacy and mass interpersonal persuasion should be included in a security awareness system to motivate OSN users to avoid malware threats. The second iteration was conducted to further validate TTAT-MIP through a Facebook video animation security awareness system (referred in this thesis as Social Network Criminal (SNC)). SNC is a Web-based application integrated within Facebook to provide security awareness to OSN users. To evaluate TTAT-MIP through SNC, three research techniques were adopted: lab experiments, usability study and semi-structured interviews. The results suggest that participants perceived SNC as a useful tool for malware threat avoidance. In addition, SNC had a significant effect on the malware threat avoidance capabilities of the study participants. Moreover, the thematic analysis of the semi-structured interviews demonstrated that the study participants' found SNC to be highly informative; persuasive; interpersonally persuasive; easy to use; relatable; fun to use; engaging; and easy to understand. These findings were strongly related to the constructs of TTAT-MIP. The research contributes to theory by demonstrating a novel approach to design and deploy security awareness systems in a social context. This was achieved by including users' behavioural characteristic on the online platform where malware threats occur within a security awareness system. Besides, this research shows how practitioners keen on developing systems to improve security behaviours could adopt the TTAT-MIP model for other related contexts.
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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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Busch, Christian. "Social entrepreneurs as network orchestrators : how and why do social entrepreneurs build up and leverage social networks to perform?" Thesis, London School of Economics and Political Science (University of London), 2013. http://etheses.lse.ac.uk/908/.

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Over the last decades, extensive research about the role of networks in venture creation and development in both the sociology- (e.g.,Burt, 2005; Chiesi, 2007) and management- literature (e.g., Hoang & Antoncic, 2003; Maurer & Ebers, 2006) has been produced. However, while social networks have been recognized as crucial elements for the growth of social ventures (e.g., Bradach, 2010; Waitzer & Paul, 2011), there has been identified a lack of theory-motivated papers on how and why the different dimensions and configurations of social networks influence (social) venture performance over time (Aldrich & Kim,2007; Dacin et al., 2010). Filling this gap, this thesis focuses on the dynamic networking patterns of social ventures over the organizational lifecycle. It consists of three major parts: one conceptual paper, and two empirical papers. Drawing from networks-, social capital-, and organizational ecology-approaches (e.g., Hannan & Freeman, 1989; Kim et al., 2006), in the conceptual paper I develop a four-stage typology of network development, contending that selective boundary-spanning can lead to better performance outcomes if aligned with time-contingencies. The second paper, a comparative case study of six social ventures operating in Kenya’s low income context (a setting neglected by management research), uses a qualitative approach to examine how these ventures orchestrated networks. Via the comparison of success-, failure-, and turnaround- cases, I find four core ‘stages’, and identify key characteristics of the respective networks, as well as conditions and mechanisms that help the transition from stage to stage. Having established the importance of social capital and its relation with organizational outcomes, the third paper focuses on the antecedents of social capital. A longitudinal case study in the South African low-income context shows that approaches such as bricolage can be effective in enfranchising the previously disenfranchised on a broader scale.
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Raymond, Danielle R. "Who Cares? Social Support and Social Network in Depression." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1428063501.

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Tarasenko, O. M. "Social networks." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40502.

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Nowadays millions of people use social networks. They got used to surfing on the Internet because it is quick and very easy to discover anything you wish. You don‘t need to think of suggestions and ideas. At least what you need is to be able to type correctly.
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Holzhauer, Sascha [Verfasser]. "Dynamic Social Networks in Agent-based Modelling : Increasingly Detailed Approaches of Network Initialisation and Network Dynamics / Sascha Holzhauer." Kassel : Kassel University Press, 2017. http://d-nb.info/1137030445/34.

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Bakina, Oleksandra. "Social networking." Thesis, Молодь у глобалізованому світі: академічні аспекти англомовних фахових досліджень (англ. мовою) / Укл., ред. А.І.Раду: збірник мат. конф. - Львів: ПП "Марусич", 2011. - 147 с, 2011. http://er.nau.edu.ua/handle/NAU/20769.

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Black, Hulda G. "NETWORK DRIVERS OF INTERCUSTOMER SOCIAL SUPPORT." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_diss/143.

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Customers in a service setting sometimes seek support from other customers; recent research has demonstrated this phenomenon. This research also found that intercustomer social support has a positive impact on consumer health, as well as the financial returns for the company. Given these positive effects for firms and customers, organizations can benefit from fostering social connections among their customers. While past research has investigated the positive consequences of intercustomer social support, little research to date has investigated the firm’s strategic role in fostering intercustomer social support. The current research seeks to understand key tactics a firm can use to promote intercustomer social support. Using network theory, the present research investigates the impact of network drivers on different dimensions of intercustomer social support. Results demonstrate that identification with the company, employees and customers is significantly associated with levels of instrumental intercustomer social support. Further, the number of customer ties, along with the amount of information flow and the strength of these ties, all impact instrumental and social/emotional social support. Last, this research presents the positive effects that intercustomer social support has on various customer, firm and co-creation outcomes. Contributions to marketing theory and managerial implications are also presented.
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Kochar, Shilpa. "Network ties and their effect on employee collaboration in enterprise social networks." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/210864/1/Shilpa_Kochar_Thesis.pdf.

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There has been a rapid growth and widespread adoption of social media technologies across all industries. Despite the growing importance of enterprise social networks (ESN), there has been limited research in examining the role of employee relationships (ties) in these networks. To gain an in-depth understanding of ties and collaboration outcomes, a mixed method research was conducted. StackExchange data was collected and processed, social network analysis and qualitative analysis of data has been done and the findings are presented in the form of an empirically derived theoretical model. Study provides novel insights into importance of negative ties and reciprocal ties.
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Smith, James Thompson. "Inference from incomplete social network data." Connect to Electronic Thesis (CONTENTdm), 2010. http://worldcat.org/oclc/648993323/viewonline.

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43

Hildorsson, Fredrik. "Scalable Solutions for Social Network Analysis." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110548.

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A telecom operator can get a lot of high quality intelligence by studying the social network of its subscribers. One way to generate such a social network is to study the calls between the subscribers. Social networks generated from telecom networks can consist of millions of subscribers and the majority of the current social network analysis algorithms are too slow to analyze large networks. This master's thesis' objective is to find a more scalable solution to analyze social networks.

The work was divided into three steps; a survey of the existing solutions and algorithms, a pre-study to verify limitations of existing solutions and test some ideas and from the result of the pre-study and the survey a prototype was planned and implemented.

From the pre-study it was clear that the current solutions both took too long and used too much memory to be possible to use on a large social network. A number of algorithms were tested and from those a few was chosen to be implemented in the prototype. To help with the memory and time consumption the solution was also parallelized by using a partitioning algorithm to divide the graph into separate pieces on which each algorithm could run locally.The partitioning algorithm failed to scale well due to an internal modification of the partitioning scheme to adapt the partitioning to social graphs and simplify the parallelization. All but one algorithm scaled well and they were considerably faster than the original algorithms.

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44

Grant, Eli. "Network analysis for social programme evaluation." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.719991.

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45

Xu, Kuang, and 徐况. "On social-network-enabled e-communications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44906547.

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46

Leichsenring, Falk, Jürgen Hoyer, Manfred Beutel, Sabine Herpertz, Wolfgang Hiller, Eva Irle, Peter Joraschky, et al. "The Social Phobia Psychotherapy Research Network." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-133684.

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This paper presents the Social Phobia Psychotherapy Research Network. The research program encompasses a coordinated group of studies adopting a standard protocol and an agreed-on set of standardized measures for the assessment and treatment of social phobia (SP). In the central project (study A), a multicenter randomized controlled trial, refined models of manualized cognitive-behavioral therapy and manualized short-term psychodynamic psychotherapy are compared in the treatment of SP. A sample of 512 outpatients will be randomized to either cognitive-behavioral therapy, short-term psychodynamic psychotherapy or waiting list. Assessments will be made at baseline, at the end of treatment and 6 and 12 months after the end of treatment. For quality assurance and treatment integrity, a specific project using highly elaborated measures has been established (project Q). Study A is complemented by 4 interrelated add-on projects focusing on attachment style (study B1), on cost-effectiveness (study B2), on variation in the serotonin transporter gene in SP (study C1) and on structural and functional deviations of the hippocampus and amygdala (study C2). Thus, the Social Phobia Psychotherapy Research Network program enables a highly interdisciplinary research into SP. The unique sample size achieved by the multicenter approach allows for studies of subgroups (e.g. comorbid disorders, isolated vs. generalized SP), of responders and nonresponders of each treatment approach, for generalization of results and for a sufficient power to detect differences between treatments. Psychological and biological parameters will be related to treatment outcome, and variables for differential treatment indication will be gained. Thus, the results provided by the network may have an important impact on the treatment of SP and on the development of treatment guidelines for SP
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
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47

Simon, Peter A. "Social Network Theory In Engineering Education." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/377.

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Collaborative groups are important both in the learning environment of engineering education and, in the real world, the business of engineering design. Selecting appropriate individuals to form an effective group and monitoring a group’s progress are important aspects of successful task performance. This exploratory study looked at using the concepts of cognitive social structures, structural balance, and centrality from social network analysis as well as the measures of emotional intelligence. The concepts were used to analyze potential team members to examine if an individual's ability to perceive emotion in others and the self and to use, understand, and manage those emotions are a factor in a group’s performance. The students from a capstone design course in computer engineering were used as volunteer subjects. They were formed into groups and assigned a design exercise to determine whether and which of the above mentioned tools would be effective in both selecting teams and predicting the quality of the resultant design. The results were inconclusive with the exception of an individual's ability to accurately perceive emotions. The instruments that were successful were the Self-Monitoring scale and the accuracy scores derived from cognitive social structures and Level IV of network levels of analysis.
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48

Mulanda, Chilongo D. "Social network effects on information aggregation." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/55264.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 57-58).
In this thesis, we investigated how sociometric information can be used to improve different methods of aggregating dispersed information. We specifically compared four different approaches of information aggregation: vanilla opinion poll, opinion polls where sociometric data is inferred from the population's own perception of social connectivity, opinion polls where sociometric data is obtained independent of the populations beliefs and data aggregation using market mechanisms. On comparing the entropy of the error of between the prediction of each of these different methods with the truth, preliminary results suggest that sociometric data does indeed improve the enterprise of information aggregation. The results also raise interesting questions about the relevance and application of different kinds of sociometric data as well as the somewhat surprising efficiency of information market mechanisms.
by Chilongo D. Mulanda.
M.Eng.
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49

ALAWAD, NOOR ALDEEN KAMEL. "Network-aware recommendations in online social networks." Doctoral thesis, 2017. http://hdl.handle.net/11573/960039.

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Along with the rapid increase of using social networks sites such as Twitter, a massive number of tweets published every day which generally affect the users decision to forward what they receive of information, and result in making them feel overwhelmed with this information. Then, it is important for this services to help the users not lose their focus from what is close to their interests, and to find potentially interesting tweets. The problem that can occur in this case is called information overload, where an individual will encounter too much information in a short time period. For instance, in Twitter, the user can see a large number of tweets posted by her followees. To sort out this issue, recommender systems are used to give contents that match the user's needs. This thesis presents a tweet-recommendation approach aiming at proposing novel tweets to users and achieving improvement over baseline. For this reason, we propose to exploit network, content, and retweet analyses for making recommendations of tweets. The main objective of this research is to recommend tweets that are unseen by the user (i.e., they do not appear in the user timeline) because nobody in her social circles published or retweeted them. To achieve this goal, we create the user's ego-network up to depth two and apply the transitivity property of the \emph{friends-of-friends} relationship to determine interesting recommendations. After this step, we apply cosine similarity and Jaccard distance as similarity measures for the candidate tweets obtained from the network analysis using bigrams. We also count the mutual retweets between the ego user and candidate users as a measure of shared similar tastes. The values of these features are compared together for each of the candidate tweets using pairwise comparisons in order to determine interesting recommendations that are ranked to best match the user's interests. Experimental results demonstrate through a real user study that our approach improves the state-of-the-art technique. In addition to the efficiency of our approach in finding relevant contents, it is also characterized by the fact of providing novel tweets, which solves the over-specialization challenge or serendipity problem that appears when using content-based recommender systems as a stand alone approach of recommendation.
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50

Wu, Bai-Sheng, and 吳百盛. "Network Privacy and Social Network Service Relationship Between Social Behavior." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/46163188679898952755.

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碩士
大葉大學
資訊管理學系碩士班
98
With the popularity of internet and WEB2.0 era, Social Network Service become more and more attention, according to comScore Media Metrix statistics, in January 2009, the impact of the global economic situation, the U.S. tax class, job category significant increase in site traffic and tourism category. Facebook is also the first leap into the top ten sites list, showing the social networking Web sites in 2009 will have great momentum. Among the famous are Facebook, twitter, Myspace ... etc.. And one of Facebook, traditional Chinese culture, has recently launched a social networking service, once again hit another peak. This study attempts to Theory of Reasoned Action and the Technology Acceptance Model of the dimensions and the dimensions of this research to increase Network Privacy, to analyze the average internet user for the Social Network Service of cognition and behavior. The study found that, in addition to Perceived Ease of Use of the attitude is not positive relationship, other Perceived Ease of Use on the positive relationship between Perceived Usefulness, Perceived Usefulness, Network Privacy, Subjective Norms on the positive relationship between attitude, attitude on behavioral intention are positive relationship, Perceived Ease of Use is most likely because Internet development, general Internet users have some common sense, and the Social Network Service diversification, the Perceived Ease of Use may not directly affect the attitude .
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