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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Bibliographic Details

Published in:	IEEE transactions on knowledge and data engineering Vol. 26; no. 8; pp. 1838 - 1852
Main Authors:	Folino, Francesco, Pizzuti, Clara
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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