A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering. - Mark S. Handcock; Martina Morris (SNA@ICML, 2006)

Heider vs Simmel: Emergent Features in Dynamic Structures. - David Krackhardt; Mark S. Handcock (SNA@ICML, 2006)

Recent developments in exponential random graph (p*) models for social networks. - Garry Robins; Tom A. B. Snijders; Peng Wang 002; Mark S. Handcock; Philippa Pattison (Soc. Networks, 2007)

Population constraints on pooled surveys in demographic hazard modeling. - Michael S. Rendall; Ryan Admiraal; Alessandra DeRose; Paola DiGiulio; Mark S. Handcock; Filomena Racioppi (Stat. Methods Appl., 2008)

A curved exponential family model for complex networks. - Mark S. Handcock; Martina Morris (Comput. Math. Organ. Theory, 2009)

A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models. - Marijtje A. J. Van Duijn; Krista Gile; Mark S. Handcock (Soc. Networks, 2009)

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. - Pavel N. Krivitsky; Mark S. Handcock; Adrian E. Raftery; Peter D. Hoff (Soc. Networks, 2009)

Estimating Within-School Contact Networks to Understand Influenza Transmission - Gail E. Potter; Mark S. Handcock; Ira M. Longini Jr.; M. Elizabeth Halloran (CoRR, 2011)

Practical Network Modeling via Tapered Exponential-Family Random Graph Models. - Bart Blackburn; Mark S. Handcock (J. Comput. Graph. Stat., 2023)

Enhancing spatially-disaggregated simulations with large language models. - Ilya Zaslavsky; Jiaxi Lei; Rishi Graham; Mark S. Handcock; Eliah Aronoff Spencer (ICoMS, 2024)

Understanding networks with exponential-family random network models. - Zeyi Wang; Ian E. Fellows; Mark S. Handcock (Soc. Networks, 2024)