Correspondence Analysis of Multirelational Multilevel Networks

Social network analysis is concerned not only with social relations (Wellman 1988), but also more generally with attributes across pairs of social actors, which are referred to as dyadic attributes (Borgatti and Everett 1987, p. 243). These dyadic attributes range from shared affiliations to distances between cities to similarities in respondents’ answers to items on a questionnaire. While most network studies have investigated one-mode networks (Borgatti and Everett 1987), social network approaches are easily extended to two-mode data, such as the relationship between employees and work teams with which they are affiliated (Wasserman and Faust 1994). In two-mode networks, different types of nodes (e.g., employees and teams) are represented as different modes. Unlike typical affiliation networks (for a primer on affiliation networks, please refer to Wasserman and Faust 1994;