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Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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ATHANASIOU, THOMAS. "Multi-dimensional analysis of social multi-networks : Analysing a 5-layer social network case study." Thesis, Uppsala universitet, Institutionen för informatik och media, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-273908.

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Network theory analysis is applicable to many scientific disciplines (fields) such as biology, statistics and sociology. The social network analysis is one of the various branches of the broader network theory analysis, the social network analysis. It is of high interest among the researchers in social sciences. Social networks have had a significant impact on human civilizations for many centuries. During the last two decades, the main academic interest was addressed towards the research and analysis of a dynamically uprising sector of social networks, the on-line networks, primarily due to t
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Junuthula, Ruthwik Reddy. "Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

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

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2009 - 2010<br>Il tema della valutazione emerge periodicamente nella discussione politica italiana. L’azione del valutare, che rappresenta ormai un’operazione ricorrente nella vita quotidiana, diviene una pratica consolidata anche in seno alle istituzioni pubbliche, indispensabile per costruire un giudizio sul funzionamento delle politiche stesse. La pratica valutativa si rivela, però, difficile da applicare in contesti complessi e dinamici come quelli che caratterizzano gli interventi nel sociale, dove la complessità attiene alla eterogeneità e pluralità di attori coinvolti e alla multip
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CURZI, MIRCO. "Content based social network analysis." Doctoral thesis, Università Politecnica delle Marche, 2009. http://hdl.handle.net/11566/242305.

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

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically
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Moore, John. "Making Sense of Networks: Exploring How Network Participants Understand and Use Information From Social Network Analysis." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103640.

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typical
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Magnusson, Jonathan. "Social Network Analysis Utilizing Big Data Technology." Thesis, Uppsala universitet, Avdelningen för datalogi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170926.

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As of late there has been an immense increase of data within modern society. This is evident within the field of telecommunications. The amount of mobile data is growing fast. For a telecommunication operator, this provides means of getting more information of specific subscribers. The applications of this are many, such as segmentation for marketing purposes or detection of churners, people about to switching operator. Thus the analysis and information extraction is of great value. An approach of this analysis is that of social network analysis. Utilizing such methods yields ways of finding t
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Broccatelli, Chiara. "Going beyond secrecy : methodological advances for two-mode temporal criminal networks with Social Network Analysis." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/going-beyond-secrecy-methodological-advances-for-twomode-temporal-criminal-networks-with-social-network-analysis(f0f91f79-7bc3-442c-a16b-e9cf44cc68c3).html.

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This thesis seeks to extend the application of Social Network Analysis (SNA) to temporal graphs, in particular providing new insights for the understanding of covert networks. The analyses undertaken reveal informative features and properties of individuals' affiliations under covertness that also illustrate how both individuals and events influence the network structure. The review of the literature on covert networks provided in the initial two chapters suggests the presence of some ambiguities concerning how authors define structural properties and dynamics of covert networks. Authors somet
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Isah, Haruna. "Social Data Mining for Crime Intelligence: Contributions to Social Data Quality Assessment and Prediction Methods." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16066.

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With the advancement of the Internet and related technologies, many traditional crimes have made the leap to digital environments. The successes of data mining in a wide variety of disciplines have given birth to crime analysis. Traditional crime analysis is mainly focused on understanding crime patterns, however, it is unsuitable for identifying and monitoring emerging crimes. The true nature of crime remains buried in unstructured content that represents the hidden story behind the data. User feedback leaves valuable traces that can be utilised to measure the quality of various aspects of pr
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Fidalgo, Patrícia Seferlis Pereira. "Learning networks and moodle use in online courses: a social network analysis study." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8862.

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Dissertação para obtenção do Grau de Doutor em Ciências da Educação Especialidade em Tecnologias, Redes e Multimédia na Educação e Formação<br>This research presents a case study on the interactions between the participants of the forums of four online undergraduate courses from the perspective of social network analysis (SNA). Due to lack of studies on social networks in online learning environments in higher education in Portugal we have choose a qualitative structural analysis to address this phenomenon. The context of this work was given by the new experiences in distance education (DE)
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Trier, Matthias. "Towards a Social Network Intelligence Tool for visual Analysis of Virtual Communication Networks." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-140161.

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Communities of Practice regularly utilize virtual means of communication. The according software support provides its members with many sophisticated features for generating content and for communicating with each other via the internet or intranet. However, functionalities to monitor, assess, coordinate, and communicate the quality and development of the underlying electronic networks of experts are frequently missing. To meet this need of increased manageability, this contribution introduces a Social Network Intelligence software approach which aims at supporting the comprehension of the str
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Trier, Matthias. "Towards a Social Network Intelligence Tool for visual Analysis of Virtual Communication Networks." Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A27871.

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Communities of Practice regularly utilize virtual means of communication. The according software support provides its members with many sophisticated features for generating content and for communicating with each other via the internet or intranet. However, functionalities to monitor, assess, coordinate, and communicate the quality and development of the underlying electronic networks of experts are frequently missing. To meet this need of increased manageability, this contribution introduces a Social Network Intelligence software approach which aims at supporting the comprehension of the str
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Cimenler, Oguz. "Social Network Analysis of Researchers' Communication and Collaborative Networks Using Self-reported Data." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5201.

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This research seeks an answer to the following question: what is the relationship between the structure of researchers' communication network and the structure of their collaborative output networks (e.g. co-authored publications, joint grant proposals, and joint patent applications), and the impact of these structures on their citation performance and the volume of collaborative research outputs? Three complementary studies are performed to answer this main question as discussed below. 1. Study I: A frequently used output to measure scientific (or research) collaboration is co-authorship in s
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Franco, Alessia <1996&gt. "How Blockchain Technology Can Help Rearchitect Social Networks: An Analysis of Desmos Network." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19800.

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Centralized Social Networks (CSNs) such as Facebook, Instagram and Twitter are operated in an obscure, opaque and autocratic manner; many problems arise from centralized corporate power, these issues are based on the misalignment between profit-seeking incentives of corporations and user goals. Censorship, banning and data breaches have become increasingly frequent in the past five years, recent political tensions and the outbreak of Covid-19 have worsened this situation globally. The main issue has an inborn nature: the business model of CSNs utilizes and monetizes users’ data to maximize the
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Stearmer, Steven Matthew Ph D. "Diaspora Social Movements in Cyberspace: Epistemological and Ethnographic Considerations." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1460658606.

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Gamal, Doaa. "Social Networks Influence Analysis." UNF Digital Commons, 2017. http://digitalcommons.unf.edu/etd/723.

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Pew Research Center estimates that as of 2014, 74% of the Internet Users used social media, i.e., more than 2.4 billion users. With the growing popularity of social media where Internet users exchange their opinions on many things including their daily life encounters, it is not surprising that many organizations are interested in learning what users say about their products and services. To be able to play a proactive role in steering what user’s say, many organizations have engaged in efforts aiming at identifying efficient ways of marketing certain products and services, and making sure use
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Kochar, Shilpa. "Network ties and their effect on employee collaboration in enterprise social networks." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/210864/1/Shilpa_Kochar_Thesis.pdf.

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There has been a rapid growth and widespread adoption of social media technologies across all industries. Despite the growing importance of enterprise social networks (ESN), there has been limited research in examining the role of employee relationships (ties) in these networks. To gain an in-depth understanding of ties and collaboration outcomes, a mixed method research was conducted. StackExchange data was collected and processed, social network analysis and qualitative analysis of data has been done and the findings are presented in the form of an empirically derived theoretical model. Stud
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Hildorsson, Fredrik. "Scalable Solutions for Social Network Analysis." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110548.

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<p>A telecom operator can get a lot of high quality intelligence by studying the social network of its subscribers. One way to generate such a social network is to study the calls between the subscribers. Social networks generated from telecom networks can consist of millions of subscribers and the majority of the current social network analysis algorithms are too slow to analyze large networks. This master's thesis' objective is to find a more scalable solution to analyze social networks.</p><p>The work was divided into three steps; a survey of the existing solutions and algorithms, a pre-stu
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Grant, Eli. "Network analysis for social programme evaluation." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.719991.

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Santoro, Lauren Ratliff. "Choosing to be Changed: How Selection Conditions the Effect of Social Networks on Political Attitudes." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1498740182855649.

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FICARA, Annamaria. "Social network analysis approaches to study crime." Doctoral thesis, Università degli Studi di Palermo, 2022. http://hdl.handle.net/10447/537005.

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Social Network Analysis (SNA) studies groups of individuals and can be applied in a lot of areas such us organizational studies, psychology, economics, information science and criminology. One of the most important results of SNA has been the definition of a set of centrality measures (e.g., degree, closeness, betweenness, or clustering coefficient) which can be used to identify the most influential people with respect to their network of relationships. The main problem with computing centrality metrics on social networks is the typical big size of the data. From the computational point o
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Pister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.

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Cette thèse vise à identifier théoriquement et concrètement comment l'analyse visuelle peut aider les historiens dans leur processus d'analyse de réseaux sociaux. L'analyse de réseaux sociaux est une méthode utilisée en histoire sociale qui vise à étudier les relations sociales au sein de groupes d'acteurs (familles, institutions, entreprises, etc.) en reconstruisant les relations du passé à partir de documents historiques, tels que des actes de mariages, des actes de naissances, ou des recensements. L'utilisation de méthodes visuelles et analytiques leurs permet d'explorer la structure social
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Kulkarni, Rohan A. "Coolhunting and Coolfarming : harnessing the power of collaborative innovation networks using social network analysis." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90713.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 71-73).<br>Email, Instant Messaging, Voice Over IP (VOIP) and other means of online communication have become so ubiquitous today that we rarely take a moment to acknowledge how the internet has changed and redefined the ways in which we communicate and collaborate with fellow human beings. The internet has empowered us to collaborate with others in ways
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Marra, Marianna. "Indirect ties in knowledge networks : a social network analysis with ordered weighted averaging operators." Thesis, Aston University, 2015. http://publications.aston.ac.uk/25303/.

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This PhD thesis analyses networks of knowledge flows, focusing on the role of indirect ties in the knowledge transfer, knowledge accumulation and knowledge creation process. It extends and improves existing methods for mapping networks of knowledge flows in two different applications and contributes to two stream of research. To support the underlying idea of this thesis, which is finding an alternative method to rank indirect network ties to shed a new light on the dynamics of knowledge transfer, we apply Ordered Weighted Averaging (OWA) to two different network contexts. Knowledge flows in p
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Davel, Ronél. "Enriching knowledge networks - considering synergies between social network analysis, communities of practice and knowledge." Thesis, University of Pretoria, 2017. http://hdl.handle.net/2263/61289.

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The constructive management of existing knowledge and the access to and development of new knowledge has become essential to organisations. Since tacit knowledge can often not be captured or documented, knowledge is often created and shared through social interaction within organisations. Relationships are thus fundamental to knowledge creation and knowledge transfer and the various forms of social networks existing within organisations play a primary role in leveraging these relationships. This study followed the socialisation philosophy as reflected in the works of Nonaka and Takeuchi
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Fares, Julian. "Modelling Stakeholder Integration Using Social Networks: An Australian Integrated Health Care Project." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20455.

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Stakeholders form relationships in projects to achieve both personal and project objectives. Proper stakeholder identification, categorisation and engagement methods that capture the social processes of the stakeholder network environment are lacking in many project management standards. In this study, social network theories and analytics are introduced as a new lens for stakeholder analysis to examine an integrated network of health care stakeholders (health care services and providers) that provides care for patients. The aim is to identify influential key stakeholders and determine the opt
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Rosen, Joel Louis. "Friends with benefits : an investigation into the social dynamics of network creation in the born-global SME." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/22826.

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Previous literature on the social dynamics of network creation in enterprises has drawn a sharp division between the utility of personal and professional networks. This has been particularly marked in social network analysis of born-global SMEs operating in emerging markets and seeking to internationalise. Using the case study of International Housing Solutions (Pty) Ltd (IHS) – a born global SME with both a global and a regional network – this research creates a deeper and more nuanced understanding of what such networks look like, what human factors are key to their operation, and what the r
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Kibanov, Mark [Verfasser]. "Social Network Mining for Analysis of Social Phenomena / Mark Kibanov." Kassel : Universitätsbibliothek Kassel, 2019. http://d-nb.info/1193090261/34.

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Rajasekaran, Sathya Dev Squicciarini Anna C. Metzner John J. "Social network risk analysis and privacy framework." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4812/index.html.

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Afrasiabi, Rad Amir. "Social Network Analysis and Time Varying Graphs." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34441.

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The thesis focuses on the social web and on the analysis of social networks with particular emphasis on their temporal aspects. Social networks are represented here by Time Varying Graphs (TVG), a general model for dynamic graphs borrowed from distributed computing. In the first part of the thesis we focus on the temporal aspects of social networks. We develop various temporal centrality measures for TVGs including betweenness, closeness, and eigenvector centralities, which are well known in the context of static graphs. Unfortunately the computational complexities of these temporal centra
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Rezaee, Shaliz. "E-mail Prioritization through Social Network Analysis." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3356.

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Context. Trust and reliability are important issues in online communication. By rapid growth of online social networks (OSNs), online communication becomes richer by the integrating of social interaction into the communication model. However, E-mail communication systems concern about unsolicited messages. Objectives. In this thesis the aim is to investigate how to prioritize E-mails between recipients and senders by using information from OSNs. Methods. An algorithm is presented for computing trust by measuring users‟ interaction and similarity in online social networks and this trust is used
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Wang, Xin. "Graph pattern matching on social network analysis." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8277.

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Graph pattern matching is fundamental to social network analysis. Its effectiveness for identifying social communities and social positions, making recommendations and so on has been repeatedly demonstrated. However, the social network analysis raises new challenges to graph pattern matching. As real-life social graphs are typically large, it is often prohibitively expensive to conduct graph pattern matching over such large graphs, e.g., NP-complete for subgraph isomorphism, cubic time for bounded simulation, and quadratic time for simulation. These hinder the applicability of graph pattern ma
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Bohn, Angela, Norbert Walchhofer, Patrick Mair, and Kurt Hornik. "Social Network Analysis of Weighted Telecommunications Graphs." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2009. http://epub.wu.ac.at/708/1/document.pdf.

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SNA provides a wide range of tools that allow examination of telecommunications graphs. Those graphs contain vertices representing cell phone users and lines standing for established connections. Many sna tools do not incorporate the intensity of interaction. This may lead to wrong conclusions because the difference between best friends and random contacts can be defined by the accumulated duration of talks. To solve this problem, we propose a closeness centrality measure (ewc) that incorporates line values and compare it to Freeman's closeness. Small exemplary networks will demonstrate the ch
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Nohuddin, Puteri. "Predictive trend mining for social network analysis." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/7153/.

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This thesis describes research work within the theme of trend mining as applied to social network data. Trend mining is a type of temporal data mining that provides observation into how information changes over time. In the context of the work described in this thesis the focus is on how information contained in social networks changes with time. The work described proposes a number of data mining based techniques directed at mechanisms to not only detect change, but also support the analysis of change, with respect to social network data. To this end a trend mining framework is proposed to ac
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Hu, Daning. "Analysis and Applications of Social Network Formation." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/145710.

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Nowadays people and organizations are more and more interconnected in the forms of social networks: the nodes are social entities and the links are various relationships among them. The social network theory and the methods of social network analysis (SNA) are being increasingly used to study such real-world networks in order to support knowledge management and decision making in organizations. However, most existing social network studies focus on the static topologies of networks. The dynamic network link formation process is largely ignored. This dissertation is devoted to study such dynami
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MACCAGNOLA, DANIELE. "Relational Learning Models for Social Network Analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/100459.

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Social networks have been studied for nearly half a century by sociologists to analyze interactions between people. Nowadays, with the advent of Web 2.0, social networks have moved from being an abstract concept to actual online applications such as Facebook, Twitter and Linkedin, which are used daily by people to create and maintain relationships with friends, co-workers and other acquaintances. However, online social networks allow their users to do more than just maintain friendships: people can generally create and share content in various forms, from simple textual messages (called posts
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Hultin, Alex. "Sustaining interdisciplinary research : a multilayer perspective." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767571.

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Interdisciplinary Research (IDR) has received a lot of attention from academics, policy-makers, and decision-makers alike. RCUK invests £3 billion in research grants each year (RCUK 2017); half of the grants are provided to investigators who hail from different departments. There is mounting awareness of the challenges facing IDR, and a large body of literature trying to establish how IDR can be analysed (Davidson 2015, Yegros-Yegros, Rafols et al. 2015). Of these, the majority have been qualitative studies and it has been noticed that there is a distinct lack of quantitative studies that can
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Zhang, Huiqi. "Socioscope: Human Relationship and Behavior Analysis in Mobile Social Networks." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30533/.

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The widely used mobile phone, as well as its related technologies had opened opportunities for a complete change on how people interact and build relationship across geographic and time considerations. The convenience of instant communication by mobile phones that broke the barrier of space and time is evidently the key motivational point on why such technologies so important in people's life and daily activities. Mobile phones have become the most popular communication tools. Mobile phone technology is apparently changing our relationship to each other in our work and lives. The impact of new
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Molin, Sigrid. "Social nätverksanalys som ett redskap vid brottsutredningar." Thesis, Malmö högskola, Fakulteten för hälsa och samhälle (HS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-25489.

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Genom en systematisk litteraturöversikt i kombination med en intervju är syftet med denna uppsats att försöka beskriva varför den sociala nätverksanalysen är lämplig i brottsutredningssammanhang samt hur den sociala nätverksanalysen används i brottsutredningar. Tanken är också att översikten ska kunna bidra till att se vilka möjligheter det finns att praktiskt utveckla metoden. Det finns en hel del forskning kring både social nätverksanalys (SNA) som metod och som teori och det används idag inom en mängd olika områden. Som teori handlar SNA om hur vi människor är sociala varelser som påverkar
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Tandefelt, Max. "Web 2.0 and Network Society : -PR and Communication: The Challenge of Online Social Networks." Thesis, Uppsala University, Media and Communication, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9187.

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<p>Abstract</p><p>As online social network services are becoming one of the dominant media channels the importance of disseminating messages through them is of high importance for governments, organizations, companies etc. The online social network services are several and changes rapidly as they grow and evolve. Being networks, the services give the user the tools to send, as well as receive text and information. This proposes us with yet another obstacle in communication via online social network services since sender and receiver merges together.</p><p>Online social network services and the
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Lo, Giudice Valeria. "Capitale sociale e partenariato locale: un applicazione della Social Network Analysis nella Provincia di Siracusa." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1064.

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Gli studi della sociologia classica inquadrano Bourdieu e Coleman da una parte e Putnam dall altra come i promotori di due importanti modelli di relazioni generatrici di capitale sociale, rispettivamente basati su un approccio di tipo individualistico e di tipo collettivistico. Nonostante le due teorie abbiano dato spunto a linee di ricerca sociologiche contrapposte trovano un punto comune nell opinione condivisa che il capitale sociale sia una risorsa fondata sull esistenza di un qualche tipo di relazione sociale (G. Degli Antoni, 2005). Questo concetto è condiviso negli studi di analisi
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Lam, Phuongthao Tuyen. "Examining Sexually Transmitted Disease Transmission Dynamics in Chlamydia Positive and Negative Adolescent Population using Social Network Analysis." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/iph_theses/78.

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Adolescents are disproportionately affected by a wide range of STDs due to high level of personal risk behaviors and poor access to STD prevention services. As documented in numerous previous studies, STDs could lead to many serious consequences to adolescents’ health and the overall well being of society. One prominent concern is that STDs increase adolescent’s risk in acquiring HIV infection. Among all STDs, Chlamydia is the most prevalent in adolescents as well as in the general population. No previous studies have attempted to examine the social interaction of adolescent population heavily
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Nordvik, Monica K. "Contagious Interactions : Essays on social and epidemiological networks." Doctoral thesis, Stockholm : Visby : Acta Universitatis Stockholmiensis ; eddy.se [distributör], 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8309.

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McGlohon, Mary. "Structural Analysis of Large Networks: Observations and Applications." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/18.

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Network data (also referred to as relational data, social network data, real graph data) has become ubiquitous, and understanding patterns in this data has become an important research problem. We investigate how interactions in social networks are formed and how these interactions facilitate diffusion, model these behaviors, and apply these findings to real-world problems. We examined graphs of size up to 16 million nodes, across many domains from academic citation networks, to campaign contributions and actor-movie networks. We also performed several case studies in online social networks su
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Wei, Wei. "Utilizing Social Bookmarking Tag Space for Web Content Discovery: A Social Network Analysis Approach." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195123.

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Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based on tags, as well as following the user-user connections formed in the social bookmarking community. However, the effectiveness of tag-based search is limited due to the lack of explicitly represented semantics in the tag space. In addition, social co
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Friggeri, Adrien. "A Quantitative Theory of Social Cohesion." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00737199.

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Community, a notion transversal to all areas of Social Network Analysis, has drawn tremendous amount of attention across the sciences in the past decades. Numerous attempts to characterize both the sociological embodiment of the concept as well as its observable structural manifestation in the social network have to this date only converged in spirit. No formal consensus has been reached on the quantifiable aspects of community, despite it being deeply linked to topological and dynamic aspects of the underlying social network. Presenting a fresh approach to the evaluation of communities, this
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Bell, Patrick M. "Development of Local Homeland Security Networks in the State of Florida: A Social Network Analysis Approach." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/574.

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How do local homeland security organizations respond to catastrophic events such as hurricanes and acts of terrorism? Among the most important aspects of this response are these organizations ability to adapt to the uncertain nature of these “focusing events” (Birkland 1997). They are often behind the curve, seeing response as a linear process, when in fact it is a complex, multifaceted process that requires understanding the interactions between the fiscal pressures facing local governments, the institutional pressures of working within a new regulatory framework and the political pressures o
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Dang, The Anh. "Analysis of community in social networks." Paris 13, 2012. http://www.theses.fr/2012PA132043.

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Un réseau social est une structure composée d'entités reliées par un ou plusieurs types d'interdépendance, le plus souvent modélisé par un ou plusieurs graphes. Une caractéristique importante des réseaux sociaux est leur structure en communautés. Une communauté est définie comme un ensemble de nœuds qui interagissent d'avantage entre eux qu'avec le reste du réseau. Cette thèse porte sur l'analyse des communautés dans les réseaux sociaux, qui est utile pour de nombreuses tâches, telles la caractérisation de la structure, les systèmes de recommandation, la visualisation, ou encore le suivi de la
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Caulfield, John. "A social network analysis of Irish language use in social media." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/53228/.

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Statistics show that the world wide web is dominated by a few widely spoken languages. However, in quieter corners of the web, clusters of minority language speakers can be found interacting and sharing content. This study is the first to compare three such clusters of Irish language social media users. Social network analysis of the most active public sites of interaction through Irish – the Irish language blogosphere, the Irish language Twittersphere and a popular Irish language Facebook group – reveals unique networks of individuals communicating through Irish in unique and innovative ways.
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Rezayidemne, Seyedsaed. "Characterizing Online Social Media: Topic Inference and Information Propagation." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23904.

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Word-of-mouth (WOM) communication is a well studied phenomenon in the literature and content propagation in Online Social Networks (OSNs) is one of the forms of WOM mechanism that have been prevalent in recent years specially with the widespread surge of online communities and online social networks. The basic piece of information in most OSNs is a post (e.g., a tweet in Twitter or a post in Facebook). A post can contain different types of content such as text, photo, video, etc, or a mixture of two or more them. There are also various ways to enrich the text by mentioning other users, using h
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