Decentralized mining social network communities with agents

Decentralized mining social network communities with agents

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Article ID: iaor20133156
Volume: 57
Issue: 11-12
Start Page Number: 2998
End Page Number: 3008
Publication Date: Jun 2013
Journal: Mathematical and Computer Modelling
Authors: , , ,
Keywords: networks
Abstract:

Network community mining algorithms aim at efficiently and effectively discovering all such communities from a given network. Many related methods have been proposed and applied to different areas including social network analysis, gene network analysis and web clustering engines. Most of the existing methods for mining communities are centralized. In this paper, we present a multi‐agent based decentralized algorithm, in which a group of autonomous agents work together to mine a network through a proposed self‐aggregation and self‐organization mechanism. Thanks to its decentralized feature, our method is potentially suitable for dealing with distributed networks, whose global structures are hard to obtain due to their geographical distributions, decentralized controls or huge sizes. The effectiveness of our method has been tested against different benchmark networks.

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