Canonical correlation analysis: Assessing links between multiplex networks

✍ Scribed by Charles Carroll

• Publisher: Elsevier Science
• Year: 2006
• Tongue: English
• Weight: 359 KB
• Volume: 28
• Category: Article
• ISSN: 0378-8733
• DOI: 10.1016/j.socnet.2005.07.004

✦ Synopsis

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.