期刊
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XIV
卷 9921, 期 -, 页码 633-643出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-45823-6_59
关键词
Community structure; Weighted networks; Game theory; Brain functional connectivity networks
The community structure detection problem in weighted networks is tackled with a new approach based on game theory and extremal optimization, called Weighted Nash Extremal Optimization. This method approximates the Nash equilibria of a game in which nodes, as players, chose their community by maximizing their payoffs. After performing numerical experiments on synthetic networks, the new method is used to analyze functional connectivity networks of the brain in order to reveal possible connections between different brain regions. Results show that the proposed approach may be used to find biomedically relevant knowledge about brain functionality.
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