SSRM: Structural Social Role Mining for Dynamic Social Networks
- Afra Abnar
- Mansoureh Takaffoli
- Reihaneh Rabbany
- Osmar R. Zaiane, University of Alberta (Database)
A social role is a special position an individual possesses within a network, which indicates his or her behaviours, expectations, and responsibilities. Identifying the roles that individuals play in a social network has various direct applications, such as detecting influential members, trustworthy people, idea innovators, etc. Roles can also be used for further analyses of the network, e.g. community detection, temporal event prediction, and summarization. In this paper, we propose a structural social role mining framework (SSRM), which is built to identify roles, study their changes, and analyze their impacts on the underlying social network. We define fundamental roles in a social network (namely leader, outermost, mediator, and outsider), and then propose methodologies to identify them, and track their changes. To identify these roles, we leverage the traditional social network analyses and metrics, as well as proposing new measures, including community-based variants fo the Betweenness centrality. Our results indicate how the changes in the structural roles, in combination with the changes in the community structure of a network, can provide additional clues into the dynamics of networks.
Citation
A. Abnar, M. Takaffoli, R. Rabbany, O. Zaiane. "SSRM: Structural Social Role Mining for Dynamic Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014.Keywords: | |
Category: | In Conference |
Web Links: | Webdocs |
BibTeX
@incollection{Abnar+al:ASONAM14, author = {Afra Abnar and Mansoureh Takaffoli and Reihaneh Rabbany and Osmar R. Zaiane}, title = {SSRM: Structural Social Role Mining for Dynamic Social Networks}, booktitle = {IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM)}, year = 2014, }Last Updated: November 13, 2019
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