A Three-Way Data Analysis Approach for Analyzing Multiplex Networks

In the present contribution, the use of factorial methods for three-way data is proposed to visually explore the structure of multiplex networks, that is, in presence of more relationships measured for a common set of nodes. Specifically, the DISTATIS technique, an extension of multidimensional scaling to three-way data, is used to analyze multiplex one-mode networks. In this procedure different types of relationships are represented in separate spaces and in a compromise space. A well-known dataset in the related literature is considered to illustrate how this procedure works in practice.