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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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 26; číslo 8; s. 1838 - 1852
Hlavní autori:	Folino, Francesco, Pizzuti, Clara
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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