Mark S. Handcock

According to our database, Mark S. Handcock authored at least 11 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding networks with exponential-family random network models.

Zeyi Wang, Ian E. Fellows, Mark S. Handcock

Soc. Networks, 2024

Enhancing spatially-disaggregated simulations with large language models.

Ilya Zaslavsky, Jiaxi Lei, Rishi Graham, Mark S. Handcock, Eliah Aronoff Spencer

Proceedings of the 2024 7th International Conference on Mathematics and Statistics, 2024

2023

Practical Network Modeling via Tapered Exponential-Family Random Graph Models.

Bart Blackburn, Mark S. Handcock

J. Comput. Graph. Stat., April, 2023

2011

Estimating Within-School Contact Networks to Understand Influenza Transmission

Gail E. Potter, Mark S. Handcock, Ira M. Longini Jr., M. Elizabeth Halloran

CoRR, 2011

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

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

A curved exponential family model for complex networks.

Mark S. Handcock, Martina Morris

Comput. Math. Organ. Theory, 2009

2008

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

2007

Recent developments in exponential random graph (p*) models for social networks.

Garry Robins, Tom A. B. Snijders, Peng Wang, Mark S. Handcock, Philippa Pattison

Soc. Networks, 2007

2006

Heider vs Simmel: Emergent Features in Dynamic Structures.

David Krackhardt, Mark S. Handcock

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering.

Mark S. Handcock, Martina Morris

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006