This article reviews new specifications for exponential random graph models proposed by
Snijders et al.[Snijders, TAB, Pattison, P., Robins, GL, Handcock, M., 2006. New …

The authors review empirical studies published between 1990 and 2007 on the topics of
public health organization, financing, staffing, and service delivery. A summary is provided of …

" Exponential random graph models (ERGMs) are a class of statistical models for social
networks. They account for the presence (and absence) of network ties and so provide a …

To date, most network research contains one or more of five major problems. First, it tends to
be atheoretical, ignoring the various social theories that contain network implications …

This article provides an introductory summary to the formulation and application of
exponential random graph models for social networks. The possible ties among nodes of a …

We argue that changes in the nature of work in 21st‐century organizations have led to the
emergence of star performers—a few individuals who contribute a disproportionate amount …

We describe some of the capabilities of the ergm package and the statistical theory
underlying it. This package contains tools for accomplishing three important, and …

A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving
social network, is the difficulty of separating the effects of partner selection from the effects of …

Modern multilevel analysis, whereby outcomes of individuals within groups take into account
group membership, has been accompanied by impressive theoretical development (eg …

Recent research has shown that communication networks involving governmental and
nongovernmental actors self‐organize based on how risk is perceived. According to the “risk …