Finding influential subjects in a network using a causal framework.

ABSTRACT: Researchers across a wide array of disciplines are interested in finding the most influential subjects in a network. In a network setting, intervention effects and health outcomes can spill over from one node to another through network ties, and influential subjects are expected to have a greater impact than others. For this reason, network research in public health has attempted to maximize health and behavioral changes by intervening on a subset of influential subjects. Although influence is often defined only implicitly in most of the literature, the operative notion of influence is inherently causal in many cases: influential subjects are those we should intervene on to achieve the greatest overall effect across the entire network. In this work, we define a causal notion of influence u

SUBMITTER: Lee Y 

PROVIDER: S-EPMC10423748 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature