| Literature DB >> 27594715 |
Abstract
Partnership concurrency is a major driver of permeability of social networks to diffusion, and an important modeling target in the context of sexually transmitted infections. A seemingly unrelated phenomenon of concern in modeling social networks is isolation avoidance-the tendency of individuals to maintain at least one tie. Although concurrency bias and bias in isolate formation would naively seem to be distinct, we here show that their respective ERGM expressions (edge/concurrent tie and edge/isolate families, and their regular extensions) are equivalent, and that both are equivalent to a special case of the geometrically weighted degree families. In addition to being statistically useful, this equivalence provides insight into the essential connection between these apparently different structural phenomena.Entities:
Keywords: ERGMs; Markov graphs; concurrency; geometrically weighted degree; k-stars; model parameterization; social isolation
Year: 2016 PMID: 27594715 PMCID: PMC5004992 DOI: 10.1080/0022250X.2015.1112386
Source DB: PubMed Journal: J Math Sociol ISSN: 0022-250X Impact factor: 1.480