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Structural Role Mining in Social Networks Open Access


Other title
Structural Roles
Social Networks Analysis
Social Role Mining
Centrality Measures
Data Mining
Type of item
Degree grantor
University of Alberta
Author or creator
Abnar, Afra
Supervisor and department
Zaiane, Osmar (Computing Science)
Examining committee member and department
Rathi, Dinesh (Library Science)
Barbosa, Denilson (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
All along their lives, individuals take roles in their interactions with each other. This behaviour is known as the role-taking characteristic of human beings. We refer to these roles as social roles that are the primary components of societies. Identifying social roles in a society helps to better analyze the social phenomena. Consequently, it can be beneficial in the search for influentials, trustworthy peo- ple, idea innovators, etc. With this intention, we propose the structural social role mining (SSRM) framework to identify roles, study their changes, and analyze their impacts on the underlying social network. More specifically, we define four fun- damental roles called leader, outermost, mediator, and outsider. Subsequently, we suggest methodologies to identify these roles within a social network. While ex- ploring our proposed methodologies for identifying the aforementioned roles, we develop two new variants of Betweenness centrality (BC): LBetweenness (LBC) and CBetweenness (CBC). Motivated by time complexity, these two centrality mea- sures are computed more efficiently compared to Betweenness centrality especially in large social networks. Eventually, we identify and study changes of roles in the Enron communication network using our proposed framework. According to our results, individuals serving as leaders or mediators were important people in the Enron organization. Moreover, identifying roles as well as their changes through consecutive timeframes could be informative and thus could be used as a clue for further investigations.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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