Search for overlapped communities by parallel genetic algorithms

Details Search for overlapped communities by parallel genetic algorithms Search for overlapped communities by parallel genetic algorithms

2009-12-04

arxiv.org/abs/0912.0913v2

International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 2, pp. 113-118, November 2009, USA

Computer Science

Information Retrieval

6 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS November 2009, ISSN 1947 5500,

Scientific paper

In the last decade the broad scope of complex networks has led to a rapid progress. In this area a particular interest has the study of community structures. The analysis of this type of structure requires the formalization of the intuitive concept of community and the definition of indices of goodness for the obtained results. A lot of algorithms has been presented to reach this goal. In particular, an interesting problem is the search of overlapped communities and it is field seems very interesting a solution based on the use of genetic algorithms. The approach discusses in this paper is based on a parallel implementation of a genetic algorithm and shows the performance benefits of this solution.

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