Literature DB >> 27594715

On the Equivalence of the Edge/Isolate and Edge/Concurrent Tie ERGM Families, and Their Extensions.

Carter T Butts1.   

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


  6 in total

1.  Curved Exponential Family Models for Social Networks.

Authors:  David R Hunter
Journal:  Soc Networks       Date:  2007-03

2.  statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data.

Authors:  Mark S Handcock; David R Hunter; Carter T Butts; Steven M Goodreau; Martina Morris
Journal:  J Stat Softw       Date:  2008       Impact factor: 6.440

3.  Advances in Exponential Random Graph (p*) Models Applied to a Large Social Network.

Authors:  Steven M Goodreau
Journal:  Soc Networks       Date:  2007-05

4.  ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.

Authors:  David R Hunter; Mark S Handcock; Carter T Butts; Steven M Goodreau; Martina Morris
Journal:  J Stat Softw       Date:  2008-05-01       Impact factor: 6.440

5.  Instability, Sensitivity, and Degeneracy of Discrete Exponential Families.

Authors:  Michael Schweinberger
Journal:  J Am Stat Assoc       Date:  2012-01-24       Impact factor: 5.033

6.  A Novel Simulation Method for Binary Discrete Exponential Families, with Application to Social Networks.

Authors:  Carter T Butts
Journal:  J Math Sociol       Date:  2015-07-09       Impact factor: 1.480

  6 in total

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