141 citations · 563 across the 41 of their papers we have counts for
14 papers · 1 filter
A Return to Biased Nets: New Specifications and Approximate Bayesian Inference
Carter T. Butts
The biased net paradigm was the first general and empirically tractable scheme for parameterizing complex patterns of dependence in networks, expressing deviations from uniform ran…
Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis
Carter T. Butts
Graph processes that unfold in continuous time are of obvious theoretical and practical interest. Particularly useful are those whose long-term behavior converges to a graph distri…
Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study
Peng Huang, Carter T. Butts
The exponential-family random graph models (ERGMs) have emerged as an important framework for modeling social networks for a wide variety of relational types. ERGMs for valued netw…
Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices
Fan Yin, Carter T. Butts
The exponential family random graph modeling (ERGM) framework provides a flexible approach for the statistical analysis of networks. As ERGMs typically involve normalizing factors…
A Dynamic Process Reference Model for Sparse Networks with Reciprocity
Carter T. Butts
Many social and other networks exhibit stable size scaling relationships, such that features such as mean degree or reciprocation rates change slowly or are approximately constant…
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Fan Yin, Weining Shen, Carter T. Butts
Ensembles of networks arise in many scientific fields, but there are few statistical tools for inferring their generative processes, particularly in the presence of both dyadic dep…