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Community Evolution of Social Network: Feature, Algorithm and Model
[article]
2008
arXiv
pre-print
Researchers have devoted themselves to exploring static features of social networks and further discovered many representative characteristics, such as power law in the degree distribution and assortative value used to differentiate social networks from nonsocial ones. However, people are not satisfied with these achievements and more and more attention has been paid on how to uncover those dynamic characteristics of social networks, especially how to track community evolution effectively. With
arXiv:0804.4356v1
fatcat:kgg3nd42m5bidjnn6oj2ugnt6m