Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1129307 | Social Networks | 2013 | 12 Pages |
Abstract
In this paper, we review the development of dependence structures for exponential random graph models for bipartite networks, and propose a hierarchy of dependence structures within which different dependence assumptions may be located. Based on this hierarchy, we propose a new set of model specifications by including bipartite graph configurations involving more than four nodes. We discuss the theoretical significance of the various effects that the extended models afford, and illustrate application of this hierarchy of models to several bipartite networks related to the political mobilization in Brazil in the early 1990s (Mische, 2007).
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Peng Wang, Philippa Pattison, Garry Robins,