141 citations · 563 across the 41 of their papers we have counts for
48 papers
Motional Degrees of Freedom in Network Hamiltonian Models
Peng Huang, Elizabeth M. Diessner, Carter T. Butts
Network Hamiltonian Models (NHMs) provide an efficient framework for modeling the aggregation of interacting particles (e.g., the condensation of proteins into gel-like, oligomeric…
A Behavioral Micro-foundation for Cross-sectional Network Models
Carter T. Butts, Alexander Murray-Watters
Models for cross-sectional network data have become increasingly well-developed in recent decades, and are widely used. This has led to a growing interest in the connection between…
The Decay of Impact with Network Distance in Linear Diffusion Processes
Alexander Murray-Watters, Cheng Wang, John R. Hipp +2
Many processes related to status, power, and influence within social networks have been modeled using forced linear diffusion models; examples include the highly successful Friedki…
Transition State Theory for Network Dynamics
Carter T. Butts
Many classic questions of structural theory concern discrete changes, such as the formation or dissolution of groups, role turnover, or faction realignment. Here, we consider a bas…
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…
A Perturbative Solution to the Linear Influence/Network Autocorrelation Model Under Network Dynamics
Carter T. Butts
Known by many names and arising in many settings, the forced linear diffusion model is central to the modeling of power and influence within social networks (while also serving as…