An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks

The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Evolutionary clustering is a recent framework for clustering dynamic networks that introduces the concept of temporal smoothness inside the community structure detection method. Evo...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 26; H. 8; S. 1838 - 1852
Hauptverfasser:	Folino, Francesco, Pizzuti, Clara
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Communities Current measurement Data mining Evolutionary computing and genetic algorithms Genetic algorithms Optimization Sociology Statistics Time measurement community discovery Evolutionary clustering complex networks dynamic networks
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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