Multi-objective decisionmaking in the detection of comprehensive community structures | IEEE Conference Publication | IEEE Xplore

Multi-objective decisionmaking in the detection of comprehensive community structures


Abstract:

Community detection in complex networks has attracted a lot of attentions in recent years. Compared with the traditional single-objective community detection approaches, ...Show More

Abstract:

Community detection in complex networks has attracted a lot of attentions in recent years. Compared with the traditional single-objective community detection approaches, the multi-objective approaches based on evolutionary computation can provide a decision maker with more flexible and promising solutions. How to make effective use of the optimal solution set returned by the multi objective community detection approaches is an important yet unsolved issue. Through leveraging an existing multi objective community detection algorithm, this paper pro poses four model selection methods to aid the decision makers to select the preferable community structures. The experiments with three synthetic and real social networks illustrate that the proposed method can discover more authentic and comprehensive community structures than traditional single-objective approaches.
Date of Conference: 05-08 June 2011
Date Added to IEEE Xplore: 14 July 2011
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Conference Location: New Orleans, LA, USA

References

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