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Exponential Random Graph Model ERGMs
Tractable and Consistent Random Graph Models
Bradley Morton's Masters Defense on Exponential Random Graph Models
Exponential Random Graph Models
Exponential Random Graph Models: Theory and Applications on Historical Networks | Antonio Fiscarelli
State-of-the-art approaches in statistical network analysis and modeling: SIENA, ERGM, tERGM models
Methods for Network Analysis: Homophily and Exponential Random Graphs (ERGM) (mnetanal01 15)
Class 09: Erdos-Renyi Random Graph
9 Inference for Networks – Exponential Random Graph Models 2017
C. Campajola: The Score−Driven Kinetic Ising Model: Modelling Time−Varying Interactions...
TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs
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Last Updated: October 1, 2026
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Scott Duxbury, Department of Sociology, University of North Carolina at Chapel Hill. ... of the main models that he has used is the Arun G. Chandrasekhar defines a general class of network formation models, Statistical This defense provides a basic introduction to graph theory and Presentation by Jeff Smith on Day 4 of Social Networks and Health workshop at Duke University. Antonio Fiscarelli (Luxembourg Centre for Contemporary and Digital History) at the Conference HNR+ResHist2021 Conference ... Presenter: Dr. Luka Kronegger, PhD, Assistant Professor, University of Ljubljana (Slovenia) Alaa Salah presents Chapter 15 ("Homophily and So the key observation in dealing with 2017 Social Networks and Health workshop, Interference for Networks: ERGMs, Zack Almquist. ... or neuron populations, and to generalise
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