Social Network Analysis and Time Varying Graphs

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dc.contributor.authorAfrasiabi Rad, Amir
dc.date.accessioned2016-04-01T13:06:34Z
dc.date.available2016-04-01T13:06:34Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10393/34441
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-5537
dc.description.abstractThe 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 centrality metrics are not comparable with their static counterparts. For example, the computation of betweenness becomes intractable in the dynamic setting. For this reason, approximation techniques will also be considered. We apply these temporal measures to two very different datasets, one in the context of knowledge mobilization in a small community of university researchers, the other in the context of Facebook commenting activities among a large number of web users. In both settings, we perform a temporal analysis so to understand the importance of the temporal factors in the dynamics of those networks and to detect nodes that act as “accelerators”. In the second part of the thesis, we focus on a more standard static graph representation. We conduct a propagation study on YouTube datasets to understand and compare the propagation dynamics of two different types of users: subscribers and friends. Finally, we conclude the thesis with the proposal of a general framework to present, in a comprehensive model, the influence of the social web on e-commerce decision making.
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectSocial Network Analysis
dc.subjectTime Varying Graphs
dc.subjectBetweenness Centrality
dc.subjectTemporal Centrality
dc.subjectTemporal Eigenvector Centrality
dc.subjectForemost Betweenness
dc.titleSocial Network Analysis and Time Varying Graphs
dc.typeThesis
dc.contributor.supervisorFlocchini, Paola
thesis.degree.namePhD
thesis.degree.levelDoctoral
thesis.degree.disciplineGénie / Engineering
uottawa.departmentScience informatique et génie électrique / Electrical Engineering and Computer Science
CollectionThèses, 2011 - // Theses, 2011 -

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