Models for Community Dynamics

Publisher:
Springer Reference
Publication Type:
Chapter
Citation:
Encyclopedia of Social Network Analysis and Mining, 2014, pp. 969 - 982
Issue Date:
2014
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In the realm of network science, a complex network is a graph with non-trivial topological features. A social network, one of the important real-world complex networks, is usually be modeled as a graph, where the nodes are called actors and the edges connecting nodes are used to represent various ties. The dynamic network is usually defined as a sequence of snapshot graphs indexed by time. Community dynamics aims to process such dynamic network to produce a sequence of communities, that is, one community for each timestamp. Different from traditional community detection methods on the static network, community dynamics assumes to obtain communities of the current timestamp relies on the results of the previous timestamps.
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