We benchmark the dynamical simplex evolution (DSE) method with several of thecurrently available algorithms to detect communities in complex networks bycomparing the fraction of correctly identified nodes for different levels of``fuzziness'' of random networks composed of well defined communities. Thepotential benefits of the DSE method to detect hierarchical sub structures incomplex networks are discussed.
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