ASONAM 2016 tutorials: Tutorial 1: Evolutionary computation for community detection in complex networks

Community detection is a hot topic in social networks. The presentation of a different computational paradigm with respect to traditional approaches can be beneficial for researchers to explore new approaches and principles to deal with this problem. The target audience is constituted by all those r...

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Published in2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) pp. xliv - xlvi
Main Authors Pizzuti, Clara, Smith, Marc A., Meier, Harald, Kumar, Srijan, Spezzano, Francesca, Subrahmanian, V. S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
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Summary:Community detection is a hot topic in social networks. The presentation of a different computational paradigm with respect to traditional approaches can be beneficial for researchers to explore new approaches and principles to deal with this problem. The target audience is constituted by all those researchers interested in approaching the problem of community detection with computational models inspired by evolution in nature. No particular background is expected from the audience since the tutorial provides the concepts necessary for understanding the problem.
DOI:10.1109/ASONAM.2016.7752201