Efficient Algorithms for Constructing Multiplex Networks Embedding
Network embedding has become a very promising technique in analysis of complex networks. It is a method to project nodes of a network into a low-dimensional vector space while retaining the structure of the network based on vector similarity. 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 present our random walk based multilayer network embedding and compare it with single layer and multilayer network embeddings. For this purpose, we used several classic datasets usually used in network embedding experiments and also collected our own dataset of papers and authors indexed in Scopus.