Generalization of clustering coefficients to signed correlation networks.

ABSTRACT: The recent interest in network analysis applications in personality psychology and psychopathology has put forward new methodological challenges. Personality and psychopathology networks are typically based on correlation matrices and therefore include both positive and negative edge signs. However, some applications of network analysis disregard negative edges, such as computing clustering coefficients. In this contribution, we illustrate the importance of the distinction between positive and negative edges in networks based on correlation matrices. The clustering coefficient is generalized to signed correlation networks: three new indices are introduced that take edge signs into account, each derived from an existing and widely used formula. The performances of the new indices are illust

SUBMITTER: Costantini G 

PROVIDER: S-EPMC3931641 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature