Effective Algorithms for Constructing Multiplex Networks Embedding

Network embedding has become a very promising technique in analysis of complex networks. It projects nodes of a network into a lower-dimensional vector space but still retaining the structure of the network. There are many methods of network embedding developed for traditional single layer networks. On the other hand multilayer networks can provide more information about relationships between nodes. In this paper we compare methods of embedding multilayer networks with methods of embedding multilayer networks and demonstrate their effectiveness. For this purpose we use several classic datasets usually used in network embedding experiments. We also introduce new method of network embedding which uses random walks generated in specific way. We test it against several baseline methods on our new dataset we obtained to measure it's effectiveness.