The multiplex network concept has recently been introduced to ease the modeling of multirelational, dynamic or attributed networks. Approaches for community detection in such networks are mostly based on layers aggregation or partitions aggregation schemas. In this paper, we propose a new approach that consists on adapting a seed-centric algorithm to the multiplex case. First experiments on different real multiplexes networks show the relevance of the approach compared to state-of-the art approaches.