Exponential Random Graph Models (ERGMs) are a method of social network analysis for building complex social network structures (Robins et al., 2007). The model assumes that the emergence of a ...

Given these three concerns, we employ the exponential random graph model (ERGM) developed in network science literature (e.g. Snijders 2002, Robins et al. 2007), which can simultaneously account for ...

Artificial society, which is a bottom-up method, has become a significant mean of studying complexity and complex phenomena in human society. Social networks play an important role in the research of ...

With the growth of interest in network data across fields, the Exponential Random Graph Model (ERGM) has emerged as the leading approach to the statistical analysis of network data. ERGM parameter ...

Pavel N. Krivitsky, Carter T. Butts, EXPONENTIAL-FAMILY RANDOM GRAPH MODELS FOR RANK-ORDER RELATIONAL DATA, Sociological Methodology, Vol. 47 (August 2017), pp. 68-112 ...

In order to specify how firms choose their partners, the so-called exponential random graph model is applied to estimate the ties formation process. For the estimation of such a large-scale network, ...

Pavel N. Krivitsky, Mark S. Handcock, A separable model for dynamic networks, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 76, No. 1 (JANUARY 2014), pp. 29-46 ...