Deeper studies of often subtle and complex properties of various social networks require novel tools and approaches. It is especially true with respect to the so-called community detection problem. It is discussed within a framework of graph theory. We focus our attention on development and applications of genetic algorithms. Results obtained for different fitness functions are given.

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