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.
A three-way data analysis approach for analyzing multiplex networks / Ragozini, Giancarlo; Vitale, Maria Prosperina; Giordano, Giuseppe. - 288:(2019), pp. 53-63. [10.1007/978-3-030-21158-5_5]
A three-way data analysis approach for analyzing multiplex networks
Ragozini, Giancarlo
;Vitale, Maria Prosperina;
2019
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
