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 ...

This paper assesses whether cross-border M&A decisions exhibit network effects. We estimate exponential random graph models (ERGM) and temporal exponential random graph models (TERGM) to evaluate the ...

In the paper, Leifeld and his colleagues present a Bayesian framework for testing scientific expectations in Exponential Random Graph Models. Their framework intends to overcome some of the ...

In a second step, weights are allocated to a sampled adjacency matrix via an exponential random graph model (ERGM) that fulfills the desired row, column and block weights. This model is analytically ...

Applying the exponential random graph model (Robins et al. 2007) to the investment data of Japanese venture capital (VC) firms, we document the relationship between VC performance and the dynamics of ...