Community detection in multiplex networks with a genetic algorithm using a semi-aggregate method

The community detection problem is an emerging part of complex networks, identifying communities can offer important insights for the network. Several methods exist for detecting communities in single layered networks, however for multilayered the problem has not been so thoroughly studied. In this paper we propose a new method for the community detection problem for multilayered network, based on the idea of semi-aggregation of different layers. We compare the proposed method with existing approaches in the literature on benchmark problems and apply our method on a co-authorship multiplex network.