Identifying highly influential nodes in the complicated grief network.

ABSTRACT: The network approach to psychopathology conceptualizes mental disorders as networks of mutually reinforcing nodes (i.e., symptoms). Researchers adopting this approach have suggested that network topology can be used to identify influential nodes, with nodes central to the network having the greatest influence on the development and maintenance of the disorder. However, because commonly used centrality indices do not distinguish between positive and negative edges, they may not adequately assess the nature and strength of a node's influence within the network. To address this limitation, we developed 2 indices of a node's expected influence (EI) that account for the presence of negative edges. To evaluate centrality and EI indices, we simulated single-node interventions on randomly generate

SUBMITTER: Robinaugh DJ 

PROVIDER: S-EPMC5060093 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature