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

机译:半聚合方法的遗传算法在多路复用网络中进行社区检测

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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.
机译:社区检测问题是复杂网络的一个新兴部分,识别社区可以为网络提供重要的见解。存在用于检测单层网络中的社区的几种方法,但是对于多层问题尚未进行如此彻底的研究。本文基于不同层次的半聚合思想,提出了一种用于多层网络的社区检测问题的新方法。我们将提出的方法与有关基准问题的文献中的现有方法进行比较,并将我们的方法应用于合著者多重网络。

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