Dissertations / Theses on the topic 'Online social networks – Research'
To see the other types of publications on this topic, follow the link: Online social networks – Research.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Online social networks – Research.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
Marks, Christopher E. (Christopher Edward). "Analytic search methods in online social networks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112012.
Full textAbstract:
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 175-185).
This thesis presents and evaluates methods for searching and analyzing social media data in order to improve situational awareness. We begin by proposing a method for network vertex search that looks for the target vertex by sequentially examining the neighbors of a set of "known" vertices. Using a dynamic programming approach, we show that there is always an optimal "block" search policy, in which all of the neighbors of a known vertex are examined before moving on to another vertex. We provide a precise characterization of the optimal policy in two specific cases: (1) when the connections between the known vertices and the target vertex are independent, and (2) when the target vertex is connected to at most one known vertex. We then apply this result to the problem of finding new accounts belonging to Twitter users whose previous accounts had been suspended for extremist activity, quantifying the performance of our optimal search policy in this application against other policies. In this application we use thousands of Twitter accounts related to the Islamic State in Iraq and Syria (ISIS) to develop a behavioral models for these extremist users. These models are used to identify new extremist accounts, identify pairs of accounts belonging to the same user, and predict to whom a user will connect when opening an account. We use this final model to inform our network search application. Finally, we develop a more general application of network search and classification that obtains a set of social media users from a specified location or group. We propose an expand -- classify methodology which recursively collects users that have social network connections to users inside the target location, and then classifies all of the users by maximizing the probability over a factor graph model. This factor graph model accounts for the implications of both observed user profile features and social network connections in inferring location. Using geo-located data to evaluate our method, we find that our classification method typically outperforms Twitter's native search methods in building a dataset of Twitter users in a specific location.
by Christopher E. Marks.
Ph. D.
2
Mayande, Nitin Venkat. "Network Structure, Network Flows and the Phenomenon of Influence in Online Social Networks: An Exploratory Empirical Study of Twitter Conversations about YouTube Product Categories." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2465.
Full textAbstract:
Traditional marketing models are swiftly being upended by the advent of online social networks. Yet, practicing firms that are engaging with online social networks neither have a reliable theory nor sufficient practical experience to make sense of the phenomenon. Extant theory in particular is based on observations of the real world, and may thus not apply to online social networks. Practicing firms may consequently be misallocating a large amount of resources, simply because they do not know how the online social networks with which they interact are organized.
The purpose of this dissertation is to investigate how online social networks that are in stark contrast to real-world social networks behave and how they get organized. In particular, I explore how network structure and information flow within the network impact each other, and how they affect the phenomenon of influence in online social networks. I have collected retrospective data from Twitter conversations about six YouTube product categories (Music, Entertainment, Comedy, Science, Howto and Sports) in continuous time for a period of three months. Measures of network structure (Scale Free Metric, Assortativity and Small World Metric), network flows (Total Paths, Total Shortest Paths, Graph Diameter, Average Path Length, and Average Geodesic Length) and influence (Eigenvector Centrality/Centralization) were computed from the data. Experimental measures such as power law distributions of paths, shortest paths and nodal eigenvector centrality were introduced to account for node-level structure. Factor analysis and regression analysis were used to analyze the data and generate results.
The research conducted in this dissertation has yielded three significant findings.
1. Network structure impacts network information flow, and conversely; network flow and network structure impact the network phenomenon of influence. However, the impact of network structure and network flow on influence could not be identified in all instances, suggesting that it cannot be taken for granted.
2. The nature of influence within a social network cannot be understood just by analyzing undirected or directed networks. The behavioral traits of individuals within the network can be deduced by analyzing how information is propagated throughout the network and how it is consumed.
3. An increase or decrease in the scale of a network leads to the observation of different organizational processes, which are most likely driven by very different social phenomena. Social theories that were developed from observing real-world networks of a relatively small scale (hundreds or thousands of people) consequently do not necessarily apply to online social networks, which can exhibit significantly larger scale (tens of thousands or millions of people).
The primary contribution of this dissertation is an enhanced understanding of how online social networks, which exhibit contrasting characteristics to social networks that have been observed in the real world, behave and how they get organized. The empirical findings of this dissertation may allow practicing managers that engage with online social networks to allocate resources more effectively, especially in marketing. The primary limitations of this research are the inability to identify the causes of change within networks, glean demographic information and generalize across contexts. These limitations can all be overcome by follow-on studies of networks that operate in different contexts. In particular, further study of a variety of online social networks that operate on different social networking platforms would determine the extent to which the findings of this dissertation are generalizable to other online social networks. Conclusions drawn from an aggregation of these studies could serve as the foundation of a more broadly-based theory of online social networks.
3
Wu, Yunyu, and 伍蕴瑜. "Gratifications and media use on social networking sites: a case study of Douban.com." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224271.
Full text
4
Ray, Aaron Parker. "Planning Connected: Using Online Social Networks to Improve Knowledge about Places and Communities." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/580.
Full textAbstract:
The advent of Social Networking Systems (SNS) has introduced new possibilities for planners to refine and extend conventional engagement and data-gathering techniques by leveraging user-contributed, spatially-referenced content freely available online. This study examines the use of SNS content as community input, complementing input gathered through traditional participatory processes such as workshops, public comment hearings, and charrettes. Four case studies of recent community planning projects in the United States are analyzed, comparing the data gathered from traditional participatory processes with available SNS content related to each project study area, to determine to what extent the inclusion of SNS data would improve the overall data- gathering efforts of these projects. Three significant findings emerge from this analysis: (i) that SNS data analysis can positively complement data gathered from traditional participatory processes, (ii) that although SNS data analysis can provide useful data to planners, it is not a direct replacement for conventional engagement techniques, and (iii) that SNS data analysis is most effective for projects in neighborhoods with a well- defined identity. The study also examines the characteristics of effective SNS data analysis integration and discusses broader implications for planning practitioners and additional research needed.
5
Hutton, Luke. "Applying contextual integrity to the study of social network sites." Thesis, University of St Andrews, 2015. http://hdl.handle.net/10023/7795.
Full textAbstract:
Social network sites (SNSs) have become very popular, with more than 1.39 billion people using Facebook alone. The ability to share large amounts of personal information with these services, such as location traces, photos, and messages, has raised a number of privacy concerns. The popularity of these services has enabled new research directions, allowing researchers to collect large amounts of data from SNSs to gain insight into how people share information, and to identify and resolve issues with such services. There are challenges to conducting such research responsibly, ensuring studies are ethical and protect the privacy of participants, while ensuring research outputs are sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that can be used to understand, identify, and mitigate the privacy impacts of emerging SNSs, and the conduct of ethical SNS studies. In this thesis, we apply Nissenbaum's model of contextual integrity to the study of SNSs. We develop an architecture for conducting privacy-preserving and reproducible SNS studies that upholds the contextual integrity of participants. We apply the architecture to the study of informed consent to show that contextual integrity can be leveraged to improve the acquisition of consent in such studies. We then use contextual integrity to diagnose potential privacy violations in an emerging form of SNS.
6
Kidney, Colleen Anne. "Involvement in the Online Autistic Community, Identity, Community, and Well-Being." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/627.
Full textAbstract:
The values of the disability rights movement and community psychology promote research that focuses on improving the lives of individuals with disabilities (Dowrick & Keys, 2001). Using the Internet for social interactions has been shown to contribute to an individual's identity development, sense of community, and well-being (Obst, Zinkiewicz, & Smith, 2002a; Turkle, 1995). While challenges in typical social interactions have traditionally been considered a defining feature of autism spectrum disorder, autistic individuals have taken advantage of the Internet to develop social interactions (Blume, 1997a). The present study focused on the online Autistic community and how the importance and value of involvement in it is related to Autistic identity, sense of community, and psychological well-being. The Academic Autistic Spectrum Partnership in Research and Education (AASPIRE) partnered with the Gernsbacher Lab to form the Gateway Project. Using the Gateway Project, AASPIRE conducted the Internet Use, Community, and Well-Being Study and collected data from 72 autistic adults online. It was hypothesized that the importance and value of involvement in the online Autistic community would be positively related to Autistic identity and sense of community, Autistic identity and sense of community would be positively related, and Autistic identity and sense of community would be positively related to psychological well-being. It was also hypothesized that the positive relationship between the importance and value of involvement in the online Autistic community and psychological well-being would be mediated by Autistic identity and sense of community. Correlations were examined among the hypothesized relationships, and a mediated regression model (Baron & Kenny, 1986) was used to explore the relationship between the importance and value of involvement in the online Autistic community and psychological well-being with Autistic identity and sense of community as mediators. Significant relationships were found between the importance and value of involvement in the online Autistic community and Autistic identity, between the importance and value of involvement in the online Autistic community and sense of community, and between autistic identity and sense of community. As a first step to test the mediated regression models, psychological well-being was regressed on the importance and value of involvement in the online Autistic community. The regression was not significant; therefore the hypothesized model was not significant. Despite non-significant mediated regression model results, significant relationships among the importance and value of involvement in the online Autistic community and Autistic identity and sense of community offer important results. These finding illuminate the potential positive impact of the importance and value of involvement in the online Autistic community, including evidence counter to the myth that autistic individuals lack skills necessary for social relationships. These findings support the positive utility of involvement in the online Autistic community for autistic adults. Further research with a larger sample size is recommended, due to low power coefficients in the analyses. Additional research may also further illuminate the findings of the current study. Possible topics may include sense of community and Autistic identity in individuals that do not use the Internet, differences in the way the Internet is used in autistic individuals, and different measures of involvement in the online Autistic community and well-being.
7
Strapatá, Barbora. "Marketingová stratégia nového online produktu Promise-Book." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85386.
Full textAbstract:
The master thesis addresses the topic of human ability to keep a promise, resolution and deals with this issue in the context of social networks and internet in the form of online platform called Promise-Book. In particular, the thesis contains data and research materials which could be used as references for the product's marketing strategy. The materials include: market analysis based on a questionnaire research as well as a research based on secondary data acquired from public statistics and studies provided by different internet websites, which are summarized in a SWOT analysis. The thesis also shows different options on internet advertisement and marketing strategies and determines the most suitable one for Promise-Book platform. The marketing strategy is performed in a standard way: Segmentation-Targeting-Positioning, Marketing Mix, Budget and Action Plan, Monitoring and evaluation.
8
Köhler, Thomas, and Nina Kahnwald. "Online Communities: Technologies and Analyses for Networks in Industry, Research and Education: 17. Workshop GeNeMe ’14 Gemeinschaften in Neuen Medien: Virtual Enterprises, Research Communities & Social Media Networks: TU Dresden, 01./02.10.2014." Technische Universität Dresden, 2014. https://tud.qucosa.de/id/qucosa%3A28314.
Full textAbstract:
GeNeMe steht für Gemeinschaften in Neuen Medien, im englischen Sprachgebrauch als Web-based Communities oder Online Communities bezeichnet. Diese Konfigurationen aus Informationstechnologie und sozialer Gemeinschaft sind gleichermaßen Thema für Anwendung und Forschung. Dabei wird deutlich, dass diese Konfigurationen aus Informationstechnologie und sozialer Gemeinschaft in vielfältigen Kontexten zu beobachten sind. Online Communities sind ohne Softwaretechnologie nicht denkbar - ebenso wenig wie ohne die neue Kultur gemeinschaftlichen Online-Handelns in Wirtschaft, Forschung und Bildung oder in privaten Räumen. Online Communities sind daher Thema mehrerer Fachdisziplinen: Informatik und Wirtschaftswissenschaft, Bildungswissenschaft und natürlich Kommunikationswissenschaft. Auf der GeNeMe trifft Medien- und Softwaretechnologie auf Wirtschaftsinformatik, Sozial- und Erziehungswissenschaft, werden Wissensarchitektur und -kooperation diskutiert. Diese Interdisziplinarität ist Tradition und Stärke der GeNeMe auch im 17. Jahr ihres Bestehens. Die Schwerpunkte des vorliegenden Bandes widmen sich eingangs überblicksartig der Analyse und Exploration von Trends und der Ausdifferenzierung von Forschungsfeldern. In den folgenden Kapiteln stehen dann zum einen die Beobachtung und Analyse von Informations- und Kommunikationshandeln unterschiedlicher Zielgruppen sowie zum anderen praktische Ansätze zur technologisch-didaktischen Gestaltung kollaborativer Systeme im Vordergrund. Nach Beiträgen aus spezifischen Einsatz- bzw. Forschungsfeldern bilden Analysen zu Nutzerverhalten in Business-Netzwerken sowie zu Geschäftsmodellen für MOOCs den Abschluss.:Inhalt
A Eingeladene Vorträge 1
A.1 Wissenskooperation in betrieblichen Gemeinschaften 1
A.2 Dropbox & Co, alles schon ge-cloud? 3
B Trend- und Strukturanalysen 5
B.1 Trends der digitalen Lehre. Befunde einer Analyse des wissenschaftlichen Fachdiskurses. 5
B.2 Existieren Wissensmanagement-Schulen? - Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren 17
B.3 Fablabs für die Forschung: Die Fusion von Makerspace und Bibliothek 33
C Information und Kommunikation 49
C.1 Gut vernetzt ist halb gewonnen? – Eine Analyse der Zusammenhänge zwischen Facebook-Nutzung und sozialem sowie akademischem Erfolg von Studierenden 49
C.2 Informationsbezogene Mediennutzung Jugendlicher und Senioren in (Online-)Communities 63
C.3 Enterprise 2.0 – ein Konzept das dem Kommunikationsverhalten junger Menschen entgegen kommt? 79
D Wissensgenerierumg und -kollaboration 93
D.1 Vergleich von offener und Script-basierter Kollaboration in einer Videolernumgebung 93
D.2 COMPASS – Eine kollaborative Plattform zur Wissensgenerierung über Accessibility-Probleme und deren Lösungen 105
D.3 auditorium – Frage, Diskutiere und Teile Dein Wissen! 117
E Anwendungsfelder 127
E.1 Online Communities für Energieversorger – Mehr als nur Self-Service? 127
E.2 „Ich nehme etwas für meine persönliche Balance mit“ – Eine explorative Studie zum Erleben von Erholung in Massively Multiplayer Online Role-Playing Games 137
F Business Netzwerke 153
F.1 Einfl usskompetenz 2.0 – eine Analyse erfolgsstrategischen Nutzerverhaltens in webbasierten Business-Netzwerken 153
F.2 Mehr Schein als Sein? – Eine Analyse der Selbstdarstellung vonStudierenden im Karrierenetzwerk Xing 165
G MOOCs .179
G.1 Analyse von Geschäftsmodellen nationaler und internationaler MOOC-Provider 179
G.2 Kosten und Wert von MOOCs am Beispiel der Plattform iMooX 191
Adress- und Autorenverzeichnis 207
9
Weisman, Jason E. "Online Risk Behaviors." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1375278989.
Full text
10
Dimond, Jill Patrice. "Feminist HCI for real: designing technology in support of a social movement." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45778.
Full textAbstract:
How are technologies are designed and used tactically by activists? As the HCI community starts to contend with social inequalities, there has been debate about how HCI researchers should address approach this type of research. However, there is little research examining practitioners such as social justice activists who confront social problems, and are using technology, such as mobile phones, blogging, and social media to do so. In this dissertation, I build on this knowledge within the context of a social movement organization working to stop street harassment (harassment towards women and minorities in public) called Hollaback (ihollaback.org). I position myself as an action researcher doing research and building technologies such as mobile apps and a blogging platform to collect stories of harassment and to support activists. The organization has collected over 3000 stories and represents 50 different locales in 17 countries. Through a series of studies, I examined how technology impacts the organization, activists, and those who contribute stories of harassment. I found evidence that the storytelling platform helps participants fundamentally shift their cognitive and emotional orientation towards their experience and informs what activists do on the ground. My results suggest that doing activism using technology can help remove some barriers to participation but can also lower expectations for the amount of work required. I also looked at how different social media tactics can increase the number of followers and how traditional media plays a role in these tactics. My work contributes theoretically to the HCI community by building on social movement theory, feminist HCI, and action research methodology. My investigation also sheds light empirically on how technology plays a role in a social movement organization, and how it impacts those who participate.
11
Perkins, Simon C. "Constellations: A participatory, online application for research collaboration in higher education interdisciplinary courses." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/91386/1/Simon_Perkins_Thesis.pdf.
Full textAbstract:
The research establishes a model for online learning centring on the needs of integrative knowledge practices. Through the metaphor of Constellations, the practice-based research explores the complexities of working within interdisciplinary learning contexts and the potential of tools such as the Folksonomy learning platform for providing necessary conceptual support.
12
Köhler, Thomas, and Nina Kahnwald. "Online Communities: Enterprise Networks, Open Education and Global Communication: 16. Workshop GeNeMe ’13 Gemeinschaften in Neuen Medien: TU Dresden, 07./08.10.2013." Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A26164.
Full textAbstract:
GeNeMe steht für Gemeinschaften in Neuen Medien, im englischen Sprachgebrauch bezeichnet als Web-based Communities oder Online Communities. Einen wichtigen Impuls erfuhren die wissenschaftliche Analyse und die wirtschaftliche Nutzung dieser Communities unter der Metapher des Web2.0. Internet-basierte Technologien wie z. B. Social Media Werkzeuge, aber auch (soziale) Intranet-Systeme und Wissensplattformen bestimmen mehr denn je Lernen, Forschen und Arbeiten in Wirtschaft, Wissenschaft und Bildung und insbesondere das private (Zusammen-) Leben. Dabei führt die zunehmende Mobilität moderner multimedialer Systeme (Smartphone, Tablet PC, etc.) zu neuen Nutzungsoptionen und kollaborativen Anwendungen - sei es im Bereich des Gaming, der Barrierefreiheit oder beim gemeinsamen Gestalten digitaler Produkte.
Die GeNeMe ’13 richtet sich in gleichem Maße an Wissenschaftler und Praktiker, die sich über den aktuellen Stand der Arbeiten auf dem Gebiet der Gemeinschaften in Neuen Medien informieren möchten. Im 16. Jahr der Tagung geht es weiterhin um Fragen der (Ver-)Gemeinschaftung bei der Nutzung neuer Medien, virtueller Communities und des Social Web. Unabhängig von der sektoralen Zugehörigkeit der behandelten Szenarien zu Wirtschaft, Wissenschaft, Bildung und Unterhaltung geht es schwerpunktmäßig um folgende Themen:
• Research Communities
• Multi- and Rich Media Communication/Collaboration in mobilen Anwendungsszenarien und Kollaborative Barrierefreiheit
• Global Communities, transnationale Kooperationen und - Netzwerke
• Virtual and Massive Communities in Education
Neben der methodischen und technologischen Perspektive interessiert das Verhältnis von individueller versus gemeinschaftlicher Aktivität, respektive Nutzung. Stärker als 2012 wurde auch die themenbezogene Praxis von Communities berücksichtigt. Der Sammelband zur Tagung „Gemeinschaften in Neuen Medien“ steht 2013 unter dem Rahmenthema „Online Communities: Enterprise Networks, Open Education and Global Communication“ und strukturiert sich in Beiträge zu den Themenfeldern Community Technologies, Community Topics und Community Didactics.
Alle in den Proceedings publizierten Beiträge wurden mit Hilfe eines anonymisierten Begutachtungsverfahrens auf Basis von mindestens 2 Gutachten aus einem breiten Angebot interessanter und qualitativ hochwertiger Beiträge ausgewählt.:A EINGELADENE VORTRÄGE 1
A.1 Neue Technologien – Neue Anforderungen an die Forschungsmethoden im Bildungswesen 1
A.2 Bürgerbeteiligung beim Hochwasserkampf - Chancen und Risiken einer kollaborativen Internetplattform zur Koordination der Gefahrenabwehr 13
B COMMUNITY TECHNOLOGIES 23
B.1 Mobile Bildungsmedien für die berufliche Ausbildung lernerorientiert entwickeln 23
B.2 Akzeptanz und Nutzung von E-Books 35
B.3 Einsatz Mobiler Apps im E-Learning 47
B.4 SENSE: Combining Mashup and HSM technology by semantic means to improve usability and performance 61
B.5 Fishification – Visualizing Activity Streams Using the Aquarium Metaphor 73
B.6 Designing e-research: A framework for researcher’s social online knowledge 83
C COMMUNITY TOPICS 101
C.1 Der Einfluss der Länge von Beobachtungszeiträumen auf die Identifizierung von Subgruppen in Online Communities 101
C.2 Topic-Based Aggregation of Questions in Social Media 113
C.3 Zesare: Kompetenzbündelung zur Unterstützung Studierender beim Erwerb studienbegleitender Zertifizierungen an sächsischen Hochschulen – Ein Projektbericht 125
C.4 Die Medienkompetenz Jugendlicher im Umgang mit digitalen sozialen Netzwerken 137
C.5 Status Quo und Bedeutung der Meinungs-führerforschung für Online-Communities 149
C.6 Förderung der Anerkennung in agilen Softwareentwicklungsprozessen 185
C.7 Trauern in virtueller Gemeinschaft. Geteiltes Gefühl in Online Gemeinschaften 189
C.8 Personalmarketing auf Social Network Sites. Die Top-100-Arbeitgeber auf Facebook 209
D COMMUNITY DIDACTICS 225
D.1 Play real – Kollaboratives Mock-Trial-Training in der OpenSim-basierten Virtual Learning World 225
D.2 Empirische Befunde zur mediengestützten Weiterbildung an sächsischen Hochschulen 237
D.3 Lebenslanges „Lernen, Lehren und Forschen” mit brauchwiki.de! Der interdisziplinäre Einsatz einer Web 2.0-Anwendung in einem geisteswissenschaftlichen Kooperationsprojekt an der Universität Augsburg 249
D.4 Kooperative Lehr-/Lernkonzepte im Bereich – tutoriell begleitete, virtuelle, kollaborative Gruppenarbeit in multinationalen Lernergruppen 259
D.5 Entwicklung eines Werkzeugs zur onlinebasierten Bestimmung typenspezifischer Lernpräferenzen 263
D.6 Virtuelle Praxisgemeinschaften in der Hochschullehre: Das mobil-virtuelle Klassenzimmer 273
D.7 Kommunikation geht alle an! – Mitarbeiterkompetenzen für neue Kommunikationsaufgaben durch Social Media 281
D.8 Studierende als Zielgruppe von Open Online Courses: Potenziale und Herausforderungen am Beispiel des SOOC13 293
D.9 Massive Open Online Courses: Kategorisierung und Analyse des Teilnehmerverhaltens am Beispiel der OPCOs 2011 und 2012 305
E POSTERBEITRÄGE 319
E.1 CloudBooks - LOOP ein neues Autorentool 319
E.2 Does community matter? Social and cultural influences on acceptance and use of collaborative educational technologies 325
E.3 Recommending in an Enterprise Social Media Stream without Explicit User Feedback 337
13
Hoffman, Phil R. "“But Are We Really Friends?”: Online Social Networking and Community in Undergraduate Students." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1211461825.
Full text
14
Xu, Yan. "Exploring social play in a shared hybrid space enabled by handheld augmented reality." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45940.
Full textAbstract:
Reality-based interfaces bring new design opportunities to social games. These novel game interfaces, exemplified by Wii, Kinect, and Smart phones, leverage players' existing physics, bodily, environmental, and social skills. Moreover, they enable a shared hybrid physical-digital space in which the players' co-presence can be enhanced by their physical and digital co-location. However, many digital social games occupy players' attention with the digital display and content, reducing their attention spent on one another and limiting the synchronization of actions and emotions among players. How do we design technologies that do not interfere with social play but enhance and innovate it?
In this thesis work, I focus on one particular kind of reality-based interfaces, Handheld Augmented Reality (HAR), to extend players' interaction from the small mobile devices to the shared hybrid space around a computationally trackable surface. This thesis explores how to encourage social play with HAR interfaces, which brings in challenges of designing with the affordances and constraints of the HAR interface, understanding the complicated phenomenon of social play, and integrating these understandings in multiplayer HAR game design. Adopting Research-through Design as the overarching research method, I collaborate with multiple teams, design and study three multiplayer HAR game prototypes. I present four main contributions. First, this work yields design artifacts and examples of social games with HAR interfaces. I communicate to the game design and Augmented Reality communities through these prototypes, including BragFish, ARt of Defense, and NerdHerder. Second, I provide empirical findings on social play in a shared hybrid space. Through lab-based user studies, observation, video analysis, interviews, and surveys, I collect and analyze interpersonal play behaviors and emotions in the shared hybrid space enabled by the HAR interface. Third, I adopt and adapt sociological theories to the domain of social games. I generate a list of theory-based design guidelines for co-located social games, especially HAR games. I prove its usefulness through the user study on an HAR game that embodies a subset of these design guidelines. Fourth, this thesis work is a case study that bridges Human Computer Interaction knowledge and methods with game design practices. It shows the outcome and benefits of multidisciplinary research, calling for more effort in integrating reality-based interfaces, as playful and experimental design materials, into different phases of game design process.
15
Albar, Ali Aldroos. "Development of an Instrument to Measure the Level of Acceptability and Tolerability of Cyber Aggression: Mixed-Methods Research on Saudi Arabian Social Media Users." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc849766/.
Full textAbstract:
Cyber aggression came about as a result of advances in information communication technology and the aggressive usage of the technology in real life. Cyber aggression can take on many forms and facets. However, the main focus of this study is cyberbullying and cyberstalking through information sharing practices that might constitute digital aggressive acts. Human aggression has been extensively investigated. Studies focusing on understanding the causes and effects that can lead to physical and digital aggression have shown the prevalence of cyber aggression in different settings. Moreover, these studies have shown strong relationship between cyber aggression and the physiological and physical trauma on both perpetrators and their victims. Nevertheless, the literature shows a lack of studies that could measure the level of acceptance and tolerance of these dangerous digital acts.
This study is divided into two main stages; Stage one is a qualitative pilot study carried out to explore the concept of cyber aggression and its existence in Saudi Arabia. In-depth interviews were conducted with 14 Saudi social media users to collect understanding and meanings of cyber aggression. The researcher followed the Colaizzi’s methods to analyze the descriptive data. A proposed model was generated to describe cyber aggression in social media applications. The results showed that there is a level of acceptance to some cyber aggression acts due to a number of factors.
The second stage of the study is focused on developing scales with reliable items that could determine acceptability and tolerability of cyber aggression. In this second stage, the researcher used the factors discovered during the first stage as source to create the scales’ items.
The proposed methods and scales were analyzed and tested to increase reliability as indicated by the Cronbach’s Alpha value. The scales were designed to measure how acceptable and tolerable is cyber-bullying, cyber-stalking in Saudi Arabia and the sharing of some information in social media applications. The results show a strong tolerance level of those activities. This study is a valuable resource for advanced-level students, educators, and researchers who focus on cyber security, cyber psychology, and cyber aggression in social network sites.
16
Köhler, Thomas, and Nina Kahnwald. "Vorwort der Herausgeber." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-125658.
Full text
17
Řehoř, Pavel. "Podnikatelský plán online platformy propojující ekonomické komerční subjekty na českém trhu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-442911.
Full textAbstract:
The content of the master’s thesis is the elaboration of a real business plan, which deals with the creation of a digital space for the professional self-realization of customer segments. The theoretical part describes the specification and verification of the initial idea of the plan using the Lean Canvas tool, qualitative research among the first customers and other analytical methods to define key factors from the general and market environment and internal sources. The analytical part focuses on the application and results of selected analytical-research methods, including evaluation for the subsequent selection of a suitable market entry strategy. The proposition part contains the final business and market strategy and business model, which is developed into individual parts of the business plan.
18
Köhler, Thomas, Nina Kahnwald, and Eric Schoop. "Wissensgemeinschaften 2015: 18. GeNeMe-Workshop, TU Dresden, 25./26.06.2015: GeNeMe 2015, Gemeinschaften in Neuen Medien." Technische Universität Dresden, 2015. https://tud.qucosa.de/id/qucosa%3A28972.
Full textAbstract:
Unter dem gemeinsamen Dach „Wissensgemeinschaften“ werden nun zwei Tagungen mit sich gegenseitig ergänzenden thematischen Schwerpunkten zusammengebracht, die Lern- und Wissensprozesse im Spannungsfeld zwischen Organisation, Technologie und (Unternehmens-)Kultur verhandeln. Während die Konferenz „Gemeinschaften in neuen Medien (GeNeMe)“ organisationale und technische Perspektiven im Kontext von Virtual Enterprises, Communities & Social Networks thematisiert, liefert die zweijährlich stattfindende Konferenz „Professionelles Wissensmanagement (ProWM)“ der Fachgruppe Wissensmanagement in der Gesellschaft für Informatik (fgwm) einen breiten integrativen Überblick über die organisatorischen, kulturellen, sozialen und technischen Aspekte des Wissensmanagements.:1 Vorwort: Wissensgemeinschaften in Wirtschaft und Wissenschaft XII
2 Preface: Knowledge Communities in Busuness and Schience XVII
Keynotes – eingeladene Vorträge
1 Knowledge Management – Advancements and Future Research Needs – Results from the Global Knowledge Research Network study 1
2 Leeds University Business School, Leeds, UK, 2 Beginnt die neue Arbeitswelt mit einer Abwesenheitsnotiz? 13
Hochschuldidaktik 2.0
1 Vernetztes Lernen an der Hochschule? Ergebnisse und Erfahrungen eines cMOOS 17
2 Smart communities in virtual reality. A comparison of design approaches for academic education 25
3 Flipped Classroom in der Hochschullehre der TU Dresden – Ein Work in Progress-Bericht 39
4 Konzepte für den Einsatz von E-Tutoren in komplexen E-Learning-Szenarien – Ein Erfahrungsbericht 45
Wissensmanagement I
1 Barrieren im interorganisationalen Wissensaustausch auf individueller Ebene – Ordnungsrahmen und Analysemethoden 55
2 GIS-based sales support by company knowledge reuse in the telecommunications sector 67
3 Praktische Entwicklung einer wissensorientierten Unternehmenskultur.
Entwurf einer Zertifizierungsmethode 75
4 Supporting Knowledge Management Instruments with Composable Micro-Services 81
Communities
1 MeetingMirror – Unterstützung von Wissenschaftler-Communities auf Konferenzen 91
2 The SIFA community as a virtual learning space in OSH 101
3 Reflexion, Begleitung, Austausch – Die Online-Plattform StudentBodies-AN zur Prävention von Magersucht 107
Technologien, Methoden, Systeme
1 Gamification in der Hochschullehre. Herleitung von Handlungsempfehlungen für den Einsatz von Gamedesign-Elementen in der sächsischen Lernplattform OPAL 115
2 Gebrauchstauglichkeit und Nützlichkeit. Usability und wahrgenommener Nutzen digitaler Lernangebote S. 125
3 Barrierefreiheit im MOOC 135
4 Strukturierte Wikis – Konzept und Anwendungsbeispiel 141
Feedback, Austausch, Ideenfindung
1 Idea-Space: A Use Case of Collaborative Course Development in Higher Education 149
2 Onlinegestützte Audience Response Systeme: Förderung der kognitiven Aktivierung in Vorlesungen und Eröffnung neuer Evaluationsperspektiven 157
3 Mobiles Feedback – Praxisbericht zur Integration eines Audience Response Systems in eine Lehrveranstaltung als Instrument der Lehrevaluation 67
4 Jazz in der Stadt und Rock auf der Autobahn - von der kollaborativen zur kollaborativ-kontextorientierten Musikempfehlung 173
Education
1 Wissens- und Nachhaltigkeitsmanagement durch Kooperationen in Weiterbildungsprojekten 185
2 Lernen aus Erfahrung – vom agilen zum verteilten Präsenzteam 193
3 Development of an E-Learning instructional model for vocational training in Indonesia 203
4 A Survey of Teachers’ Media Literacy in Chinese Vocational Schools 209
Prozess
1 Welche Use Cases eignen sich für die Umsetzung in einem Enterprise Social Network? Eine Fallstudie bei der N-ERGIE Aktiengesellschaft 225
2 Kontextbezogene, workflowbasierte Assessmentverfahren auf der Grundlage semantischer Wissensbasen 237
3 Collaborative Knowledge Acquisition and Explorationin Technology Search 243
Wissensmanagement II
1 Assessing Informal Social Learning at the Workplace – A Revalidation Case from Healthcare 251
2 Wie Barrieren im Wissenstransfer überwunden werden können – Ergebnisse einer Studie zur Grundhaltung des Misstrauens oder Vertrauens 267
3 Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes 277
4 Wissensmanagement im Kontext öffentlich-rechtlicher Rahmenbedingungen: Praktische Erfahrungen aus einem Wasserverband 285
Adress- und Autorenverzeichnis 293
19
Renken, Uta, Jens-Henrik Söldner, Angelika C. Bullinger, and Kathrin M. Möslein. "Wer mit wem und vor allem warum? Soziale Netzwerke für Forscher." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-142953.
Full text
20
Renken, Uta, Jens-Henrik Söldner, Angelika C. Bullinger, and Kathrin M. Möslein. "Wer mit wem und vor allem warum? Soziale Netzwerke für Forscher." Technische Universität Dresden, 2010. https://tud.qucosa.de/id/qucosa%3A28028.
Full text
21
Renken, Uta, Angelika C. Bullinger, and Kathrin M. Möslein. "Was Forscher wollen - Akzeptanzfaktoren für die Nutzung sozialer Forschungsnetzwerke." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-143345.
Full text
22
Kylmänen, Ester, and Emma Tysk. "Online networking and real-time interaction for musicians." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446815.
Full textAbstract:
Despite the many technological advancements made in the music industry in recent years, there is still not a single widely adopted platform for musicians to play music together online. In 2020, the Covid-19 pandemic and the subsequent quarantine pushed the need for such a platform into the spotlight. As a response, the music company Elk Audio launched their new product: Aloha. Aloha is a combined hardware and web application that allows musicians to play music in real-time over the Internet. Aloha is currently only intended for musicians who already know each other to connect and play. However, Elk's ambition is to make it the go-to platform for musicians to expand their network. The purpose of this Master's Thesis is to design the next version of the web application of Aloha, focusing on social interactions. This Master's Thesis investigates musicians' current social and musical behaviour, and their opinions of how this can be done online. Qualitative data was collected by performing semi-structured interviews with musicians of different backgrounds. The study revealed many different goals and needs of potential users of Aloha. Furthermore, we found several determining factors which enable and encourage musicians to form new musical relationships online. The final suggested design is based on the analysed data and founded in theory regarding persuasive and recommending system design, among others.Trots de tekniska framstegen som gjorts inom musikindustrin de senaste åren, finns det fortfarande inte ett enda allmänt accepterat alternativ för musiker att spela musik tillsammans online. Covid-19 pandemin och den åtföljande karantänten förde behovet för en sådan plattform till rampljuset. I början av år 2020 insåg musikföretaget Elk Audio att de kunde fylla denna lucka med sin nya produkt: Aloha. Aloha är en kombinerad hårdvara och webbapplikation som möjliggör musiker att spela musik i realtid över Internet. Aloha är för närvarande endast avsedd för musiker som redan känner varandra. Elks ambition är dock att göra Aloha till en plattform för musiker där de kan utöka sitt musikaliska nätverk. Syftet med detta examensarbete är att utforma nästa version av Alohas webbapplikation, med fokus på sociala interaktioner. Detta examensarbete undersöker musikers nuvarande sociala och musikaliska beteenden och deras åsikter om musikaliska interaktioner online. Kvalitativa data samlades in genom att utföra halvstrukturerade intervjuer med musiker från olika bakgrunder. Studien avslöjade de många olika målen och behoven hos potentiella användare av Aloha. Dessutom fann vi flera avgörande faktorer som möjliggör och uppmuntrar musiker att skapa och underhålla nya musikrelationer online. Den slutliga föreslagna designen baseras på det analyserade datat och grundas i teori om design av rekommendationssystem, m. fl..
23
Köhler, Thomas, and Nina Kahnwald. "Vorwort der Herausgeber." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-100908.
Full text
24
Renken, Uta, Angelika C. Bullinger, and Kathrin M. Möslein. "Was Forscher wollen - Akzeptanzfaktoren für die Nutzung sozialer Forschungsnetzwerke." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A28059.
Full text
25
Alloing, Camille. "Processus de veille par infomédiation sociale pour construire l'e-réputationd'une organisation. Approche par agents-facilitateurs appliquée à la DSIC de La Poste." Thesis, Poitiers, 2013. http://www.theses.fr/2013POIT4021/document.
Full textAbstract:
Cette recherche-action menée au sein de la DSIC de La Poste s’intéresse à la réputation des organisations et à son pendant numérique (l’e-réputation) par le prisme des sciences de l’information-communication. Elle propose le développement d’un processus et d’un dispositif de veille stratégique par infomédiation sociale permettant à une organisation d’évaluer, de gérer et in fine de construire son e-réputation.Dans un premier temps, nous présentons un cadre théorique de la réputation des organisations comme objet info-communicationnel. Puis nous abordons l’e-réputation (ou réputation en ligne) des organisations comme une information stratégique constituée de l’ensemble des indicateurs issus de la commensuration des interactions intentionnelles endogènes ou automatisées des communautés virtuelles avec l’organisation : productions d’opinions, notations ou encore agir des publics.Dans un deuxième temps, nous nous questionnons sur les moyens à disposition du groupe La Poste pour construire cette e-réputation. Par « construction », nous entendons la manière de structurer l’environnement informationnel dans lequel les publics de l’organisation évoluent chaque jour sur le web dit social, et plus spécifiquement sur la plate-forme Twitter. Dans ce cadre, nos observations empiriques nous permettent de mettre en exergue, de questionner et d’analyser des utilisateurs du web dont les pratiques informationnelles nous amènent à les qualifier « d’agents-facilitateurs », et dont la caractéristique principale est de participer à la prescription informationnelle et à la médiation documentaire sur le web.Suite à l’observation de certains de ces agents et à la production d’une typologie, nous proposons un modèle et un processus de veille les intégrant. Processus dont les résultats opérationnels au sein de La Poste mettent en avant la nécessaire prise en compte et analyse des pratiques de recommandation des internautes au sein des réseaux socionumériques afin que l’organisation construise son e-réputation de manière proactiveThis research within La Poste's DSIC is focused on corporate reputation and on e-reputation through the prism of information and communication sciences. It proposes the development of a web monitoring and a social search process enabling to assess, manage and build online reputation.At first, we present a theoretical framework for corporate reputation as an info-communicational object. Then we discuss corporate e-reputation such as a strategic information made up of all commensuration indicators constituted by intentional (endogenous or not) interactions with the virtual communities and the firm : productions of opinions, assessment or public behavior.In a second step, we investigate how La Poste group can build its e-reputation. By "build" we mean the way to structure the informational environment where customers evolve each day on social web, and more specifically on the Twitter platform. In this context, our empirical observations allow us to highlight, question and analyze, web users whose informational practices permit us to qualify of "facilitators-agents", and whose main characteristic is to participate in informational prescription and the documentary mediation on the web.After the observation of some of these agents and the production of a typology, we propose a model and a monitoring process to integrate them. Our process's results in La Poste show the need to take into account and analyse recommendation practices on social networks to build corporate e-reputation proactively
26
Wilson, Anna Naomi. "What is, and what might be, learned from images shared during Twitter conversations among professionals?" Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/24371.
Full textAbstract:
This thesis explores the pedagogical potential of images shared during intra-professional conversations held on the social media platform, Twitter. Twitter chats are loosely synchronous exchanges of tweets sharing a unique, identifying keyword or hashtag. They are increasingly being used among professionals to create professional networks in which practice-knowledge and opinion might be shared and where communal connections may be created. As such, they may serve as sites in which professional learning unfolds, both in relation to workplace practices and in relation to the development of new forms of professional practice around social media use. Because the exchanges and broadcasts on Twitter are, for the most part, public, and the conversations are ongoing, they also provide open, freely-accessible, and constantly renewing resources for use in pre-service learning contexts. The research focused on two example chats, one held among midwives and the other among teachers. Inspired by the increasing use of images in new forms of digital communication, the research used images tweeted during the chats as starting points from which to explore flows of knowledge and affect. Data were generated from observations of the two Twitter chats over extended periods, together with interviews with practising professionals, student professionals and their educators in which images were used as elicitation devices. The research combined an approach to reading and “being with” data inspired by ideas drawn from the work of Deleuze (1994; Williams 2013) and Deleuze and Guattari (1988; Massumi 1992), with approaches to reading images drawn from visual social semiotics (Kress and van Leeuwen 1996). The findings suggest that Twitter chats such as those studied here can provide rich opportunities for professional learning. Practice knowledge can flow from one participant to many others, and flows of affect can be used to remoralize individuals and communities. Both chats seemed to serve as sites in which professionals could experience a positivity and affirmation that was not always available in the workplace. However, the forces and intensities at play in these spaces influence both what is said and what is not said, creating new norms of online interaction that generally seemed to avoid negative comments or open disagreement. Educators saw potential to use images such as those shared in the chats in a variety of ways. For example, images could be used as prompts for examination and critique of practices. The educators I interviewed also suggested that the images could be used to help student professionals develop their sensitivity to the forces and intensities that produce particular practices. Group interviews with student professionals suggested that the former happened spontaneously when students encountered and discussed such images, but that the latter might need deliberate facilitation or prompting. The thesis concludes with some recommendations for: (i) educators considering using such images in pre-service professional learning; (ii) professional developers considering using Twitter chats; and (iii) policy-makers involved in drafting guidelines for professionals’ use of social media.
27
Rahman, Mahmudur. "Data Verifications for Online Social Networks." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2299.
Full textAbstract:
Social networks are popular platforms that simplify user interaction and encourage collaboration. They collect large amounts of media from their users, often reported from mobile devices. The value and impact of social media makes it however an attractive attack target. In this thesis, we focus on the following social media vulnerabilities. First, review centered social networks such as Yelp and Google Play have been shown to be the targets of significant search rank and malware proliferation attacks. Detecting fraudulent behaviors is thus paramount to prevent not only public opinion bias, but also to curb the distribution of malware. Second, the increasing use of mobile visual data in news networks, authentication and banking applications, raises questions of its integrity and credibility. Third, through proof-of- concept implementations, we show that data reported from wearable personal trackers is vulnerable to a wide range of security and privacy attacks, while off-the-shelves security solutions do not port gracefully to the constraints introduced by trackers. In this thesis we propose novel solutions to address these problems. First, we introduce Marco, a system that leverages the wealth of spatial, temporal and network information gleaned from Yelp, to detect venues whose ratings are impacted by fraudulent reviews. Second, we propose FairPlay, a system that correlates review activities, linguistic and behavioral signals gleaned from longitudinal app data, to identify not only search rank fraud but also malware in Google Play, the most popular Android app market. Third, we describe Movee, a motion sensor based video liveness verification system, that analyzes the consistency between the motion inferred from the simultaneously and independently captured camera and inertial sensor streams. Finally, we devise SensCrypt, an efficient and secure data storage and communication protocol for affordable and lightweight personal trackers. We provide the correctness and efficacy of our solutions through a detailed theoretic and experimental analysis.
28
Webberley, William. "Inferring interestingness in online social networks." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/68758/.
Full textAbstract:
Information sharing and user-generated content on the Internet has given rise to the increased presence of uninteresting and ‘noisy’ information in media streams on many online social networks. Although there is a lot of ‘interesting’ information also shared amongst users, the noise increases the cognitive burden in terms of the users’ abilities to identify what is interesting and may increase the chance of missing content that is useful or important. Additionally, users on such platforms are generally limited to receiving information only from those that they are directly linked to on the social graph, meaning that users exist within distinct content ‘bubbles’, further limiting the chance of receiving interesting and relevant information from outside of the immediate social circle. In this thesis, Twitter is used as a platform for researching methods for deriving “interestingness” through popularity as given by the mechanism of retweeting, which allows information to be propagated further between users on Twitter’s social graph. Retweet behaviours are studied, and features; such as those surrounding Tweet audience, information redundancy, and propagation depth through path-length, are uncovered to help relate retweet action to the underlying social graph and the communities it represents. This culminates in research into a methodology for assigning scores to Tweets based on their ‘quality’, which is validated and shown to perform well in various situations.
29
Baatarjav, Enkh-Amgalan. "Privacy Management for Online Social Networks." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc283816/.
Full textAbstract:
One in seven people in the world use online social networking for a variety of purposes -- to keep in touch with friends and family, to share special occasions, to broadcast announcements, and more. The majority of society has been bought into this new era of communication technology, which allows everyone on the internet to share information with friends. Since social networking has rapidly become a main form of communication, holes in privacy have become apparent. It has come to the point that the whole concept of sharing information requires restructuring. No longer are online social networks simply technology available for a niche market; they are in use by all of society. Thus it is important to not forget that a sense of privacy is inherent as an evolutionary by-product of social intelligence. In any context of society, privacy needs to be a part of the system in order to help users protect themselves from others. This dissertation attempts to address the lack of privacy management in online social networks by designing models which understand the social science behind how we form social groups and share information with each other. Social relationship strength was modeled using activity patterns, vocabulary usage, and behavioral patterns. In addition, automatic configuration for default privacy settings was proposed to help prevent new users from leaking personal information. This dissertation aims to mobilize a new era of social networking that understands social aspects of human network, and uses that knowledge to honor users' privacy.
30
Silva, Paulo Cesar da. "Análise do facebook da prefeitura municipal de Curitiba: desafios na comunicação." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2308.
Full textAbstract:
Com o uso crescente da internet e das novas tecnologias em especial as mídias sociais, a comunicação tende a se popularizar. Em consonância com esse momento a gestão pública também percebeu nas ferramentas de mídias sociais um novo viés de comunicação. A disponibilização da informação pública sustentada pelo avanço das ferramentas de tecnologia de informação e comunicação – TICs – impôs novas exigências e oportunidades para a gestão pública. Este modelo pode ser compreendido como um instrumento dinâmico sendo a base de uma plataforma aberta e democrática de comunicação, como também pode ser entendido como um instrumento da manutenção da imagem da cidade. Esta dissertação tem como objetivo analisar o papel do Facebook da Prefeitura Municipal de Curitiba como ferramenta de comunicação pública pela ótica da própria Prefeitura. A intenção é compreender qual é o objetivo principal com a utilização deste instrumento? Quais as motivações e os valores que a página procura transmitir aos seus usuários? Quem são esses usuários? Quais as técnicas de linguagem utilizadas? Desta forma, este trabalho apresenta uma análise da página do Facebook da Prefeitura Municipal de Curitiba, devido à sua linguagem diferenciada e o elevado número de seguidores em comparação com outras capitais brasileiras. Serão analisadas e interpretadas as 30 postagens mais comentadas no ano de 2015, por meio de um grupo de itens de análise lógico-semânticos. As principais conclusões reforçam a ideia de que a Prefeitura, ao criar sua página no Facebook, tem como objetivo atingir os jovens, em especial, e criar um consenso sobre a imagem da cidade, colaborando para legitimar o projeto de cidade-modelo.With the increasing use of the Internet and new technologies especially social media, communication tends to popularize. In line with this moment the public administration also realized in social media tools a new bias of communication. The availability of public information supported by advances in information and communication technology tools - ICTs - imposed new demands and opportunities for public management. This model can be understood as a dynamic instrument being the basis of an open and democratic communication platform, it can also be understood as an instrument of city image maintenance. This thesis aims to analyze the role of Facebook of the Curitiba City Hall as a public communication tool from the perspective of their own City Hall. The intention is to understand what is the main aim of the use of this instrument? What are the motivations and values that the page looking forward to your users? Who are these users? What language techniques used? Thus, this work presents a Facebook page analysis of the Curitiba City Hall, because of its distinctive language and the large number of followers compared to other Brazilian cities. They will be analyzed and interpreted the 30 most commented posts in 2015, using content analysis by a group of logical-semantic indicators. The main findings reinforce the idea that the City, when creating your Facebook page, aims to reach young people in particular and create a consensus on the city's image, helping to legitimize the model city project
31
Sáez-Trumper, Diego. "Finding relevant people in online social networks." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/283658.
Full textAbstract:
The objective of this thesis is to develop novel techniques to find relevant people in Online Social Networks (OSN). To that end, we consider different notions of relevance, taking the point of view of the OSN providers (like Facebook) and advertisers, as well as considering the people who are trying to push new ideas and topics on the network. We go beyond people's popularity, showing that the users with a lot of followers are not necessarily the most relevant. Specifically, we develop three algorithms that allow to: (i) compute the monetary value that each user produces for OSN provider; (ii) find users that push new ideas and create trends; and (iii) a recommender system that allows advertisers (focusing in local shops, like restaurants or pubs) to find potential customers. Furthermore, we also provide useful insights about users' behavior according to their relevance and popularity, showing - among other things - that most active users are usually more relevant than the popular ones. Moreover, we show that usually very popular users arrive late to the new trends, and that there are less popular, but very active users that generate value and push new ideas in the network.L'objectiu d'aquesta tesi és desenvolupar noves tècniques per trobar persones rellevants en les Xarxes Socials a Internet. Així doncs, considerem diferents nocions de rellevància, tenint en compte el punt de vista dels prove ïdors del servei (com Facebook) i dels anunciants, però també de persones que intenten proposar noves idees i temes a la xarxa. La nostra investigació va més enllà de la popularitat de les persones, mostra que els usuaris amb molts seguidors no són necessàriament els més rellevants. Específicament, desenvolupem tres algorismes que permeten: (i) calcular el valor (monetari) que cada usuari produeix per al prove ïdor del servei; (ii) trobar usuaris que proposen noves idees i creen tendències; i (iii) un sistema de recomanació que permet als anunciants (centrant-nos en botigues locals, com ara un restaurant o un pub) trobar clients potencials. Addicionalment, lliurem informació útil sobre el comportament dels usuaris segons la seva rellevància i popularitat, mostrant, entre altres coses, que els usuaris més actius solen ser més rellevants que els populars. A més a més, mostrem que normalment els usuaris molt populars arriben tard a les noves tendències, mentre que usuaris de menor popularitat, però molt actius, generen valor i fomenten noves idees a la xarxa .
El objetivo de esta tesis es desarrollar nuevas técnicas para encontrar personas relevantes en las Redes Sociales en Internet. Para ello, consideramos diferentes nociones de relevancia, tomando el punto de vista de los proveedores del servicio (como Facebook) y de los anunciantes, pero también de las personas que intentan proponer nuevas ideas y temas en la red. Nuestra investigación va más allá de la popularidad de las personas, mostrando que los usuarios con muchos seguidores no son necesariamente los más relevantes. Espeficamente, desarollamos tres algoritmos que permiten: (i) calcular el valor (monetario) que cada usuario produce para el proveedor del servicio; (ii) encontrar usuarios que proponen nuevas ideas y crean tendencias; y (iii) un sistema de recomendación que permite a los anunciantes (centrándonos en tiendas locales, tales como un restaurant o un pub) encontrar potenciales clientes. Adicionalmente, proporcionamos información útil sobre el comportamiento de los usuarios según su relevancia y popularidad, mostrando - entre otras cosas - que los usuarios más activos suelen ser más relevantes que los populares. Más aún, mostramos que normalmente los usuarios muy populares llegan tarde a las nuevas tendencias, y que existen usuarios menos populares, pero muy activos que generan valor y fomentan nuevas ideas en la red.
32
Recalde, Lorena. "Modeling users preferences in online social networks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663756.
Full textAbstract:
L'objectiu d'aquesta tesi és desenvolupar nous i diversos mètodes per modelar les preferències dels usuaris a les Xarxes Socials Online. Els mètodes proposats tenen com a finalitat ser aplicats en àrees de recerca com la Personalització o Recomanació d'ítems i la Detecció de Grups d'Usuaris amb gustos similars. Aquests mètodes poden ser agrupats en dos tipus: i) mètodes basats en tècniques d'anàlisi de textos (Part I, Capítols del 3 al 5) i ii) mètodes basats en teoria de grafs (Part II, Capítols 6 i 7).
Amb els mètodes plantejats a la Part I és possible determinar el nivell d'interès dels usuaris en temes que són compartits en plataformes de microblogging. Hem pres com a cas d'estudi la participació digital de tweeters a la política. Els mètodes proposats a la Part II busquen definir un paper pels usuaris de les Xarxes Socials, ja sigui com a creadors o generadors de contingut i distribuïdors o consumidors de contingut. Hem plantejat un mètode on usuaris amb interessos similars però amb diferent rols són agrupats en una mateixa comunitat, de manera que els nous continguts es propaguen més ràpidament.El objetivo de esta tesis es desarrollar nuevos y diversos métodos para modelar las preferencias de los usuarios en las Redes Sociales Online. Los métodos propuestos tienen como finalidad ser aplicados en áreas de investigación como la Personalización o Recomendación de ítems y la Detección de Grupos de Usuarios con gustos similares. Dichos métodos pueden ser agrupados en dos tipos: i) métodos basados en técnicas de análisis de texto (Parte I, Capítulos del 3 al 5) y ii) métodos basados en teoría de grafos (Parte II, Capítulos 6 y 7). Con los métodos planteados en la Parte I es posible determinar el nivel de interés de los usuarios en temas que son compartidos en plataformas de microblogging. Hemos tomado como caso de estudio la participación digital de tweeters en la política. Los métodos propuestos en la Parte II buscan definir un rol para los usuarios en Redes Sociales, ya sea como creadores o generadores de contenido y distribuidores o consumidores de contenido. Hemos planteado un método donde usuarios con intereses similares pero con distinto rol, son agrupados en una misma comunidad de forma que nuevo contenido se propague más rápidamente.
The objective of this thesis is to develop new and diverse methods to model the preferences of the users in the Online Social Networks. The proposed methods are intended to be applied in areas of research such as Personalization or Recommendation of items and the detection of groups of users with similar tastes. These methods can be grouped into two types: i) methods based on text analysis techniques (Chapters 3 to 5) and ii) methods based on graph theory (Chapters 6 and 7). With the methods proposed in i) it is possible to determine the level of interest of users on topics that are shared on microblogging platforms. We have taken as a case study the digital participation of tweeters in politics. The methods proposed in ii) seek to define a role for users in social networks, whether as creators or content generators and distributors or content consumers. We have proposed a method where users with similar interests but with different roles, are grouped in the same community so that new content spreads more quickly.
33
Bhardwaj, Shally. "Personality Assessment Using Multiple Online Social Networks." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31734.
Full textAbstract:
Personality plays an important role in various aspects of our daily life. It is being used in many application scenarios such as i) personalized marketing and advertisement of commercial products, ii) designing personalized ambient environments, iii) personalized avatars in virtual world, and iv) by psychologists to treat various mental and personality disorders. Traditional methods of personality assessment require a long questionnaire to be completed, which is time consuming. On the other hand, several works have been published that seek to acquire various personality traits by analyzing Internet usage statistics. Researchers have used Facebook, Twitter, YouTube, and various other websites to collect usage statistics. However, we are still far from a successful outcome. This thesis uses a range of divergent features of Facebook and LinkedIn social networks, both separately and collectively, in order to achieve better results. In this work, the big five personality trait model is used to analyze the five traits: openness to experience, conscientiousness, extroversion, agreeableness, and neuroticism. The experimental results show that the accuracy of personality detection improves with the use of complementary features of multiple social networks (Facebook and LinkedIn, in our case) for openness, conscientiousness, agreeableness, and neuroticism. However, for extroversion we found that the use of only LinkedIn features provides better results than the use of only Facebook features or both Facebook and LinkedIn features.
34
Ahmad, Waqar, and Asim Riaz. "Predicting Friendship Levels in Online Social Networks." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3351.
Full textAbstract:
Abstract Context: Online social networks such as Facebook, Twitter, and MySpace have become the preferred interaction, entertainment and socializing facility on the Internet. However, these social network services also bring privacy issues in more limelight than ever. Several privacy leakage problems are highlighted in the literature with a variety of suggested countermeasures. Most of these measures further add complexity and management overhead for the user. One ignored aspect with the architecture of online social networks is that they do not offer any mechanism to calculate the strength of relationship between individuals. This information is quite useful to identify possible privacy threats. Objectives: In this study, we identify users’ privacy concerns and their satisfaction regarding privacy control measures provided by online social networks. Furthermore, this study explores data mining techniques to predict the levels/intensity of friendship in online social networks. This study also proposes a technique to utilize predicted friendship levels for privacy preservation in a semi-automatic privacy framework. Methods: An online survey is conducted to analyze Facebook users’ concerns as well as their interaction behavior with their good friends. On the basis of survey results, an experiment is performed to justify practical demonstration of data mining phases. Results: We found that users are concerned to save their private data. As a precautionary measure, they restrain to show their private information on Facebook due to privacy leakage fears. Additionally, individuals also perform some actions which they also feel as privacy vulnerability. This study further identifies that the importance of interaction type varies while communication. This research also discovered, “mutual friends” and “profile visits”, the two non-interaction based estimation metrics. Finally, this study also found an excellent performance of J48 and Naïve Bayes algorithms to classify friendship levels. Conclusions: The users are not satisfied with the privacy measures provided by the online social networks. We establish that the online social networks should offer a privacy mechanism which does not require a lot of privacy control effort from the users. This study also concludes that factors such as current status, interaction type need to be considered with the interaction count method in order to improve its performance. Furthermore, data mining classification algorithms are tailor-made for the prediction of friendship levels.
35
Lewis, Makayla. "Cerebral palsy, online social networks and change." Thesis, City University London, 2013. http://openaccess.city.ac.uk/3011/.
Full textAbstract:
In 2011, 19.2 million households in the United Kingdom had access to the Internet. Online social networks (OSN) such as Facebook, Twitter, MySpace, Bebo and YouTube have proved to be the most popular Internet activity (Office of National Statistics, 2011). 49% of these users have updated or created an OSN profile and are making over 24 million visits a month (Dutton, 2009). These websites are often directed at a broad market i.e. people without disabilities. Unfortunately people with disabilities, especially those with physical impairments, often have a greater risk of experiencing loneliness than people without a disability as a result of their mobility, access and or communication impairments. Conventional communication methods such as face-to-face communication, telephone communication and text message communication are often difficult to use and can limit the opportunities for people with disabilities to engage in successful socialisation with family members and friends (Braithwaiteet al, 1999). Therefore people with disabilities can often see online communication, especially OSNs, as an attractive alternative. Previous studies such as Braithwaite et al(1999), Ellis and Kent (2010) and Dobransky and Hargittai (2006) suggests that OSNs are opening a new world to individuals with disabilities. They help these individuals, especially those exhibiting lifelong physical challenges to carry out social interaction which they would otherwise not be able to do within the analogue world. However due to inaccessible features presented in the technology for example features requiring JavaScript, hard-coded text size and Captcha (AbilityNet, 2008; Cahill and Hollier, 2009 andAsuncion, 2010) access to OSNs is often difficult. The overarching purpose of this PhD research is to understand the experiences and challenges faced when people with the physical disability cerebral palsy (cp) use OSNs. It is estimated that 1 in 400 children born in the UK is affected by cp (Scope Response, 2007). The disability can present itself in a variety of ways and to varying degrees. There is no cure for cp, however management to increase social interaction especially through technological innovations is often encouraged (United Cerebral Palsy, 2001; Sharan, 2005 and Colledge, 2006). Previous studies such as AbilityNet (2008), Cahill and Hollier (2009), and Boudreau (2011) have explored mainstream OSNs use from the perspective of users with disabilities, i.e. blind and visually or cognitively impaired, but have placed great emphasis on investigating inaccessibility of OSNs without involving these users. Other studies such as Manna (2005) and Belchiorb et al (2005) have used statistical methods such as surveys and questionnaires to identify Internet use among people with unspecified disabilities. Conversely Asuncion (2010) has taken a broader approach involving OSN users using high-level taxonomies to classify their disabilities, and Marshall et al (2006) focused on a specific disability type, cognitive impairments, without considering the variety of limitations present within the disability. Other studies such as Pell (1999) have taken a broader yet more specific approach and looked at technology use, especially computer and assistive technology among people with physical disabilities, where only 7 out of 82 surveyed had cp. Whereas Braithwaiteet al (1999) focused on individuals with disabilities, where most were classified has having a physical disability. However the study does not explicitly look at OSNs but rather at online social support within forums for people with disabilities. Studies such as these have not involved the users; defined what constitutes disability or focused on cp without encompassing other disabilities, making it impossible to identify the requirements of OSN users with cp. Initially this PhD research explored the experiences and challenges faced when individuals with cp use OSNs. Fourteen interviews were carried out consisting of participants with variations of the disability. The study identified the reasons for OSN use and non-use and also discovered key themes together with challenges that affected their experiences. This work was followed by an in-context observational study that examined these individuals context of use. The study identified the OSNs and assistive technology used, tasks carried out and users feelings during interaction. As a result of these studies it was determined that changing OSNs prevented and or slowed down these users ability to communicate online. Previous work within human-computer interaction and other disciplines such as software engineering and management science, change is often discussed during software development and is restricted to identifying scenarios and tools that assist change management within information technology (Jarke and Kurkisuonio, 1998). Studies such as these have not considered change deployment or its affect on users, though within HCI such an understanding is limited. Other disciplines i.e. psychology and social sciences have looked at change deployment. Theorists such as Lewin (1952), Lippett (1958) and Griffith (2001) attempt to offer solutions. However no one theory or approach is widely accepted and contradictions, adaptations and exclusions are continually being made. Conversely Woodward and Hendry (2004) and By (2007) have attempted to contend with these difficulties specifically stress as a result of change, believing that if change agents are aware of what an affected individual is thinking during the on set of change it will help to minimise or prevent damage. Studies such as these have focused on software development or organisational change from the perspective of developers or employees, they have not considered OSNs or individuals with cp. To fill this gap a longitudinal OSN monitoring and analysis study was carried out. The study identified how OSN changes are introduced, their affect on users, and the factors that encourage change acceptance or non-acceptance. The study was divided into three studies: two studies investigating realworld examples of OSN change by observing the actions of change agents (Twitter.com and Facebook.com) and their users reactions to the change process. A third study that asked OSN users about their experiences of OSN change was also carried out. A by product of these studies was a unique way of displaying OSN change and user acceptance on a large scale using a infographic and an inductive category model that can be used to examine OSN change. The findings from the five studies were then distilled alongside identified change management approaches and theories to develop an five-stage process for OSN change for change agents to follow. The process defined the requirements for OSN change including the change agent responsibilities before, during and after the change.
36
Yang, Yile, and 楊頤樂. "Noncooperative information diffusion in online social networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206693.
Full textAbstract:
Information diffusion in online social networks has received attention in both research and actual applications. The prevalence of online social networking sites offers the possibility of mining for necessary information. However, existing influence maximization algorithms and newly proposed influence diffusion models do not distinguish between seed nodes (or pilot users) and nonseed nodes and assume all nodes are cooperative in propagating influence. This thesis investigates models and heuristics for noncooperative information diffusion in online social networks. It consists of three parts: tragedy of the commons in online social search (OSS), influence maximization in noncooperative social networks under the linear threshold model (LTM), and influence maximization in noncooperative social networks under the independent cascade model (ICM).
Firstly, the tragedy of the commons problem in OSS is considered. I propose an analytical model that captures the behavior of OSS nodes, and, from a gaming-strategy point of view, analyze various strategies an individual node can utilize to allocate its awareness capacity. Based on this I derive the Pareto inefficiency in terms of the system cost. An incentive scheme which can lead selfish nodes to the “social optimal” state of the whole system is also proposed. Extensive simulations show that the strategy with our proposed incentive mechanism outperforms other strategies in terms of the system cost and the search success rate. The second part of the thesis presents the first detailed analysis of influence maximization in noncooperative social networks under the LTM. The influence propagation process is structured into two stages, namely, seed node selection and influence diffusion. In the former, I introduce a generalized maximum-flow-based analytical framework to model the noncooperative behavior of individual users and develop a new seed node selection strategy. In the latter, I propose a game-theoretic model to characterize the behavior of noncooperative nodes and design a Vickrey-Clarke-Groves-like (VCG-like) scheme to incentivise cooperation. Then I study the budget allocation problem between the two stages, and show that a marketer can utilize the two proposed strategies to tackle noncooperation intelligently. The proposed schemes are evaluated on large coauthorship networks, and the results show that the proposed seed node selection scheme is very robust to noncooperation and the VCG-like scheme can effectively stimulate a node to become cooperative.
Finally, I study the influence maximization problem in noncooperative social networks under the ICM using the same two-stage framework originally proposed for LTM. For the seed selection stage, a modified hierarchy-based seed node selection strategy which can take node noncooperation into consideration is introduced. The VCG-like incentive scheme designed for the influence diffusion stage under LTM can also be utilized for ICM in a similar manner. Then I also study the budget allocation problem between the two stages. The evaluation results show that the performance of the hierarchy-based seed node selection scheme is satisfactory in a noncooperative social network and the VCG-like scheme can effectively encourage node cooperation.published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
37
Laraqui, Jawad. "Activity based interfaces in online social networks." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41658.
Full textAbstract:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.Includes bibliographical references (p. 51).
The goal of the project is to explore how activity-based interfaces can create more meaningful experiences for the users and builders of online social networking sites. Medina, a social-networking site based on the idea of exchanging knowledge, explores new interfaces for visualizing connections between people and ideas. The site constantly measures interactions between people and their interests in order to create a more accurate picture of what relationships and information are important.
by Jawad Laraqui.
M.Eng.
38
Xu, Hailu. "Efficient Spam Detection across Online Social Networks." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470416658.
Full text
39
Hong, Dan. "Sharing private data in online social networks /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20HONG.
Full text
40
Cox, Shirley A. "Online social network member attitude toward online advertising formats /." Online version of thesis, 2010. http://hdl.handle.net/1850/11588.
Full text
41
Lei, Siyu, and 雷思宇. "Online influence maximization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/210187.
Full textAbstract:
Social networks, such as Twitter and Facebook, enable the wide spread of information through users’ influence on each other. These networks are very useful for marketing purposes. For example, free samples of a product can be given to a few influencers (seed nodes), with the hope that they will convince their friends to buy it. One way to formalize marketers’ objective is through the influence maximization problem, which is to find the best seed nodes to influence under a fixed budget so that the number of people who get influenced in the end is maximized. Recent solutions to influence maximization rely on the knowledge of the influence probability of every social network user. This is the probability that a user influences another one, and can be obtained by using users’ history of influencing others (called action logs). However, this information is not always available.
We propose a novel Online Influence Maximization (OIM) framework, showing that it is possible to maximize influence in a social network in the absence of exact information about influence probabilities. In our OIM framework, we investigate an Explore-Exploit (EE) strategy, which could run any one of the existing influence maximization algorithms to select the seed nodes using the current influence probability estimation (exploit), or the confidence bound of the estimation (explore). We then start the influence campaign using the seed nodes, and consider users’ immediate feedback to the campaign to further decide which seed nodes to influence next. Influence probabilities are modeled as random variables and their probability distributions are updated as we get feedback. In essence, we perform influence maximization and learning of influence probabilities at the same time. We further develop an incremental algorithm that can significantly reduce the overhead of handling users’ feedback information. We validate the e↵ectiveness and efficiency of our OIM framework on large real-world datasets.published_or_final_version
Computer Science
Master
Master of Philosophy
42
Irani, Danesh. "Preventing abuse of online communities." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44895.
Full textAbstract:
Online communities are growing at a phenomenal rate and with the large number of users these communities contain, attackers are drawn to exploit these users. Denial of information (DoI) attacks and information leakage attacks are two popular attacks that target users on online communities. These information based attacks are linked by their opposing views on low-quality information. On the one hand denial of information attacks which primarily use low-quality information (such as spam and phishing) are a nuisance for information consumers. On the other hand information leakage attacks, which use inadvertently leaked information, are less effective when low-quality information is used, and thus leakage of low-quality information is prefered by private information producers.
In this dissertation, I introduce techniques for preventing abuse against these attacks in online communities using meta-model classification and information unification approaches, respectively. The meta-model classification approach involves classifying the ``connected payload" associated with the information and using the classification result for the determination. This approach allows for detection of DoI attacks in emerging domains where the amount of information may be constrained. My information unification approach allows for modeling and mitigating information leakage attacks. Unifying information across domains followed by a quantificiation of the information leaked, provides one of the first studies on users' susceptibality to information leakage attacks. Further, the modeling introduced allows me to quantify the reduced threat of information leakage attacks after applying information cloaking.
43
Noe, Nyala. "Personality homophily and social-spatial characteristics in online social networks." Thesis, Cardiff University, 2018. http://orca.cf.ac.uk/118510/.
Full textAbstract:
Do birds of a feather flock together or do opposites attract? The aim of this thesis is to consider this question in the context of online social networks. Humans, unlike birds, can flock together based on a wide variety of characteristics, such as age, gender, or political affiliation. The tendency of people to assort based on a common trait is referred to as homophily. Research into homophilous traits has often overlooked psychological characteristics. In particular, while personality is studied extensively in the context of social media use, it has received little attention in the homophily literature, which is a gap this work endeavours to bridge. Online social networks have become ubiquitous in our daily lives and understanding their dynamics gives valuable insight into this new form of social interaction. This thesis highlights the importance of personality homophily in shaping online social networks, while also considering the inherent geographic constraints. In offline social networks, geographic proximity allows for frequent face-to-face interactions, which are essential for the formation and maintenance of friendships. Online networks often reflect offline networks, meaning that people still tend to cluster with others who are geographically close. Using datasets from Facebook and Foursquare, we explore the relationship between personality homophily and geographic distance in detail by considering the distance between similar and dissimilar people, and how they differ in their co-location patterns. We find that people assort based on their personality in both social and spatial contexts, although not all aspects of our personality are equally homophilous. Openness to experience and Conscientiousness emerged as the personality facets with the strongest homophilic tendencies, while Neuroticism appeared to be less homophilous; Agreeableness and Extraversion fall somewhere in the middle. In other words, birds of a feather do seem to flock together, but this depends on the personality facet considered.
44
Pérez-Solà, Cristina. "Towards understanding privacy risks in online social networks." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/386415.
Full textAbstract:
Les xarxes socials en línia (en anglès, Online Social Networks o OSNs) són avui en dia un dels serveis més populars a Internet. En el moment d’escriure aquestes línies, quatre de les deu primeres pàgines del rànquing global Alexa corresponien a xarxes socials i les xarxes més utilitzades tenien centenars de milions d’usuaris actius cada dia.
Les persones fem servir xarxes socials per compartir tot tipus de continguts: des d’atributs personals (com noms, edat o sexe), a ubicacions, fotos o comentaris. D’altra banda, les xarxes socials es caracteritzen per permetre que els usuaris puguin crear relacions de manera explícita (per exemple, relacions d’amistat). A més, les xarxes socials inclouen no només la informació que els usuaris publiquen conscientment sobre si mateixos, sinó també la informació que es genera a partir de la interacció dels usuaris de la plataforma.
Tant el nombre d’usuaris com el volum de dades compartides fan que la privacitat en xarxes socials sigui crítica. Aquesta tesi se centra en l’estudi de la privacitat en xarxes socials en dos contextos diferents: l’adquisició de dades de manera automatitzada (crawling) i l’aprenentatge. En primer lloc, s’estudia la relació entre crawling i privacitat, un tema que fins al moment ha rebut una atenció limitada. Aquest escenari és interessant ja que és assequible fins i tot per a un atacant de baix pressupost. En segon lloc, s’estudia com extreure informació de les relacions que formen els usuaris de xarxes socials. Les tècniques desenvolupades s’estenen després al tractament d’altres problemes que, com les xarxes socials, es poden modelar en forma de grafs.Online Social Networks (OSNs) are now one of the most popular services on the Internet. When these lines were written, there were four OSN sites in the Alexa's top ten global ranking and the most used OSNs were having hundreds of millions of daily active users. People use OSNs to share all kinds of contents: from personal attributes (like names, age, or gender), to location data, photos, or comments. Moreover, OSNs are characterized by allowing its users to explictly form relationships (e.g. friendship). Additionally, OSNs include not only information the users conscientiously post about themselves, but also information that is generated from the interaction of users in the platform. Both the number of users and the volume of data shared make privacy in OSNs critical. This thesis is focused on studying privacy related to OSNs in two different contexts: crawling and learning. First, we study the relation between OSN crawling and privacy, a topic that so far received limited attention. We find this scenario interesting because it is affordable for even a low-budget attacker. Second, we study how to extract information from the relationships OSN users form. We then expand our findings to other graph-modeled problems.
45
Alzamzami, Fatimah. "Towards Multimedia-Based Storytelling in Online Social Networks." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32521.
Full textAbstract:
Human activities can now be captured in real-time using sensor technology. The growth in sensor applications and smart mobile phones that come equipped with built-in sensors has led to the integration of sensors with social networks. These days, people are heavily dependent on online social networks (OSNs); they migrate their real-life activities online through various types of multimedia such as photos, videos, text, etc., which turns OSNs into a soft-sensory resource about users' events. The users use these forms of multimedia to tell their friends about their daily lives. This social network data can be crawled to build personal context-aware stories about individuals. However, the number of social users and the quantity of multimedia that is produced on social media are both growing exponentially, which leads to the challenge of information overload on OSNs. The information needed for stories, such as events and their locations, is not fully available on user's own profile. It is true that part of the information can be retrieved from the user's timeline, but a large number of events and related multimedia information is only available on friends' profiles. In this thesis, we focus on identifying a subset of close friends in order to enrich the content of the story. The amount of time people spend together has been proven to play a key role in determining close ties between people. We propose a DST (Days Spent Together) algorithm to find a user's closest friends based on the days they spent together interacting face-to-face. With the closest friends information, we are able to find additional information to complement what was found on the user's own profile, as well as to personalize the stories to ensure that they are only about the users and their closest friends. Due to the possibility of multimedia (photos in this thesis) overload for events, we propose to use the duration of events measured by DST, to determine the number of representative photos for each event. Our experiments show that the proposed approach could recognize the close friends of users and rank them from the strongest to the weakest. The results also show that with the proposed method we get days-spent-together values that are close to the corresponding true values provided by users.
46
Aloufi, Samah. "Trust-aware Link Prediction in Online Social Networks." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23303.
Full textAbstract:
As people go about their lives, they form a variety of social relationships, such as family, friends, colleagues, and acquaintances, and these relationships differ in their strength, indicating the level of trust among these people. The trend in these relationships is for people to trust those who they have met in real life more than unfamiliar people whom they have only met online. In online social network sites the objective is to make it possible for users to post information and share albums, diaries, videos, and experiences with a list of contacts who are real-world friends and/or like-minded online friends. However, with the growth of online social services, the need for identifying trustworthy people has become a primary focus in order to protect users’ vast amounts of information from being misused by unreliable users. In this thesis, we introduce the Capacity- first algorithm for identifying a local group of trusted people within a network. In order to achieve the outlined goals, the algorithm adapts the Advogato trust metric by incorporating weighted social relationships. The Capacity-first algorithm determines all possible reliable users within the network of a targeted user and prevents malicious users from accessing their personal network. In order to evaluate our algorithm, we conduct experiments to measure its performance against other well-known baseline algorithms. The experimental results show that our algorithm’s performance is better than existing alternatives in finding all possible trustworthy users and blocking unreliable ones from violating users’ privacy.
47
Kershaw, Daniel. "Language change and evolution in Online Social Networks." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/129787/.
Full textAbstract:
Language is in constant flux, whether through the creation of new terms or the changing meanings of existing words. The process by which language change happens is through complex reinforcing interactions between individuals and the social structures in which they exist. There has been much research into language change and evolution, though this has involved manual processes that are both time consuming and costly. However, with the growth in popularity of osn, for the first time, researchers have access to fine-grained records of language and user interactions that not only contain data on the creation of these language innovations but also reveal the inter-user and inter-community dynamics that influence their adoptions and rejections. Having access to these osn datasets means that language change and evolution can now be assessed and modelled through the application of computational and machine-learning-based methods. Therefore, this thesis looks at how one can detect and predict language change in osn, as well as the factors that language change depends on. The answer to this over-arching question lies in three core components: first, detecting the innovations; second, modelling the individual user adoption process; and third, looking at the collective adoption across a network of individuals. In the first question, we operationalise traditional language acceptance heuristics (used to detect the emergence of new words) into three classes of computation time-series measures computing the variation in frequency, form and/or meaning. The grounded methods are applied to two osn, with results demonstrating the ability to detect language change across both networks. By additionally applying the methods to communities within each network, e.g. geographical regions, on Twitter and Subreddits in Reddit, the results indicate that language variation and change can be dependent on the community memberships. The second question in this thesis focuses on the process of users adopting language innovations in relation to other users with whom they are in contact. By modelling influence between users as a function of past innovation cascades, we compute a global activation threshold at which users adopt new terms dependent on exposure to them from their neighbours. Additionally, by testing the user interaction networks through random shuffles, we show that the time at which a user adopts a term is dependent on the local structure; however, a large part of the influence comes from sources external to the observed osn. The final question looks at how the speakers of a language are embedded in social networks, and how the networks' resulting structures and dynamics influence language usage and adoption patterns. We show that language innovations diffuse across a network in a predictable manner, which can be modelled using structural, grammatical and temporal measures, using a logistic regression model to predict the vitality of the diffusion. With regard to network structure, we show how innovations that manifest across structural holes and weak ties diffuse deeper across the given network. Beyond network influence, our results demonstrate that the grammatical context through which innovations emerge also play an essential role in diffusion dynamics - this indicates that the adoption of new words is enabled by a complex interplay of both network and linguistic factors. The three questions are used to answer the over-arching question, showing that one can, indeed, model language change and forecast user and community adoption of language innovations. Additionally, we also show the ability to apply grounded models and methods and apply them within a scalable computational framework. However, it is a challenging process that is heavily influenced by the underlying processes that are not recorded within the data from the osns.
48
Botha, Leendert W. "Modeling online social networks using Quasi-clique communities." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17859.
Full textAbstract:
Thesis (MSc)--Stellenbosch University, 2011ENGLISH ABSTRACT: With billions of current internet users interacting through social networks, the need has arisen to analyze the structure of these networks. Many authors have proposed random graph models for social networks in an attempt to understand and reproduce the dynamics that govern social network development. This thesis proposes a random graph model that generates social networks using a community-based approach, in which users’ affiliations to communities are explicitly modeled and then translated into a social network. Our approach explicitly models the tendency of communities to overlap, and also proposes a method for determining the probability of two users being connected based on their levels of commitment to the communities they both belong to. Previous community-based models do not incorporate community overlap, and assume mutual members of any community are automatically connected. We provide a method for fitting our model to real-world social networks and demonstrate the effectiveness of our approach in reproducing real-world social network characteristics by investigating its fit on two data sets of current online social networks. The results verify that our proposed model is promising: it is the first community-based model that can accurately reproduce a variety of important social network characteristics, namely average separation, clustering, degree distribution, transitivity and network densification, simultaneously.
AFRIKAANSE OPSOMMING: Met biljoene huidige internet-gebruikers wat deesdae met behulp van aanlyn sosiale netwerke kommunikeer, het die analise van hierdie netwerke in die navorsingsgemeenskap toegeneem. Navorsers het al verskeie toevalsgrafiekmodelle vir sosiale netwerke voorgestel in ’n poging om die dinamika van die ontwikkeling van dié netwerke beter te verstaan en te dupliseer. In hierdie tesis word ’n nuwe toevalsgrafiekmodel vir sosiale netwerke voorgestel wat ’n gemeenskapsgebaseerde benadering volg, deurdat gebruikers se verbintenisse aan gemeenskappe eksplisiet gemodelleer word, en dié gemeenskapsmodel dan in ’n sosiale netwerk omskep word. Ons metode modelleer uitdruklik die geneigdheid van gemeenskappe om te oorvleuel, en verskaf ’n metode waardeur die waarskynlikheid van vriendskap tussen twee gebruikers bepaal kan word, op grond van hulle toewyding aan hulle wedersydse gemeenskappe. Vorige modelle inkorporeer nie gemeenskapsoorvleueling nie, en aanvaar ook dat alle lede van dieselfde gemeenskap vriende sal wees. Ons verskaf ’n metode om ons model se parameters te pas op sosiale netwerk datastelle en vertoon die vermoë van ons model om eienskappe van sosiale netwerke te dupliseer. Die resultate van ons model lyk belowend: dit is die eerste gemeenskapsgebaseerde model wat gelyktydig ’n belangrike verskeidenheid van sosiale netwerk eienskappe, naamlik gemiddelde skeidingsafstand, samedromming, graadverdeling, transitiwiteit en netwerksverdigting, akkuraat kan weerspieël.
49
Othman, Salem. "Autonomous Priority Based Routing for Online Social Networks." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1526481500145998.
Full text
50
Zhen, Yufeng. "A NOVEL SPAM CAMPAIGN IN ONLINE SOCIAL NETWORKS." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3290.
Full textAbstract:
The increasing popularity of the Online Social Networks (OSNs)\nomenclature{$OSNs$}{Online Social Networks} has made the OSNs major targets of spammers. They aim to illegally gather private information from users and spread spam to them. In this paper, we propose a new spam campaign that includes following key steps: creating fake accounts, picking legitimate accounts, forming friendships, earning trust, and spreading spam. The unique part in our spam campaign is the process of earning trust. By using social bots, we significantly lower the cost of earning trust and make it feasible in the real world. By spreading spam at a relatively low speed, we make the life span of our fake accounts much longer than in traditional spam campaigns. This means the trust we have earned can be used multiple times instead of only one time in traditional spam campaigns. We evaluate our spam campaign by comparing it with the traditional campaign, and the comparison shows that our spam campaign is less detectable and more efficient than the traditional campaign.