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PercoMCV is a novel approach for the community detection in social networks. This approach (called PercoMCV) is based on a two-step algorithm. The first step consists on the use of the clique percolation method and the second step, based on the output of the first one, measures the influence of network nodes (in order to reduce the number of unclassified nodes) by using the Eigenvector Centrality method. The approach is then tested on artificial and real networks and compared to other community detection algorithms.
