- Stanisław SaganowskiAffiliated withDepartment of Computational Intelligence, Wrocław University of Science and Technology Email author
- , Piotr BródkaAffiliated withDepartment of Computational Intelligence, Wrocław University of Science and Technology
- , Przemysław KazienkoAffiliated withDepartment of Computational Intelligence, Wrocław University of Science and Technology
Temporal social network
Evolution of a particular social community can be represented as a sequence of events (changes) following each other in the successive timeframes within the temporal social network. In other words, the evolution is described by identified group transformations from time Ti to Ti+1 (i is the period index).
Asur et al. distinguish five possible events that may happen to groups, i.e., they may dissolve, form, continue, merge, and split (Asur et al. 2007).
Pala et al. identify six distinct transformations: growth, contraction, merging, splitting, birth, and death (Palla et al. 2007).
Bródka et al. in turn describe seven noticeable event types: continuing, shrinking, growing, splitting, merging, dissolving, and forming (Bródka et al. 2012a)....
Reference Work Entry Metrics
Date: 2017 (Latest)History
- 2017 (Latest)
- Community Evolution
- Reference Work Title
- Encyclopedia of Social Network Analysis and Mining
- pp 1-14
- Print ISBN
- Online ISBN
- Springer New York
- Copyright Holder
- Springer Science+Business Media LLC
- Additional Links
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 1. Computer Science, University of Calgary
- 2. University of Calgary Computer Science
- Author Affiliations
- 3. Department of Computational Intelligence, Wrocław University of Science and Technology, Wrocław, Poland
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