Canonical correlation analysis: Assessing links between multiplex networks

OnderzoeksoutputAcademicpeer review

7 Citaten (Scopus)


ignoring the multiplex nature of social networks might result in sets of empirical findings that are misleading or contradictory. It would be helpful to adapt a variety of multivariate statistical techniques to handle network-oriented data. A canonical correlation analysis (CCA) makes a particularly interesting example since it is the most general form of the general linear model. In an example involving 317 banks, a CCA is applied to two multiplex networks: interdependence and cooperative alliances. Four significant patterns of association (orthogonal linear functions) are identified. (c) 2005 Elsevier B.V. All rights reserved.

Originele taal-2English
Pagina's (van-tot)310-330
Aantal pagina's21
TijdschriftSocial Networks
Nummer van het tijdschrift4
StatusPublished - okt-2006

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