NETWORK ANALYSIS OF 2-MODE DATA

Network analysis is distinguished from traditional social science by t he dyadic nature of the standard data set. Whereas in traditional soci al science we study monadic attributes of individuals, in network anal ysis we study dyadic attributes of pairs of individuals. These dyadic attributes (e.g, social relations) may be represented in matrix form b y a square 1-mode matrix, In contrast, the data in traditional social science are represented as 2-mode matrices. However, network analysis is not completely divorced from traditional social science, and often has occasion to collect and analyze 2-mode matrices, Furthermore, some of the methods developed in network analysis have uses in analysing n on-network data, This paper presents and discusses ways of applying an d interpreting traditional network analytic techniques to 2-mode data, as well as developing new techniques, Three areas are covered in deta il: displaying 2-mode data as networks, detecting clusters and measuri ng centrality.