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Mark S. Handcock
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2020 – today
- 2024
- [j7]Zeyi Wang
, Ian E. Fellows
Understanding networks with exponential-family random network models. Soc. Networks 78: 81-91 (2024) - [c3]Ilya Zaslavsky
Enhancing spatially-disaggregated simulations with large language models. ICoMS 2024: 14-18 - 2023
- [j6]Bart Blackburn
Practical Network Modeling via Tapered Exponential-Family Random Graph Models. J. Comput. Graph. Stat. 32(2): 388-401 (2023)
2010 – 2019
- 2011
- [i1]Gail E. Potter, Mark S. Handcock, Ira M. Longini Jr., M. Elizabeth Halloran:
Estimating Within-School Contact Networks to Understand Influenza Transmission. CoRR abs/1109.0262 (2011)
2000 – 2009
- 2009
- [j5]Mark S. Handcock
A curved exponential family model for complex networks. Comput. Math. Organ. Theory 15(4): 294-302 (2009) - [j4]Marijtje A. J. Van Duijn
A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models. Soc. Networks 31(1): 52-62 (2009) - [j3]Pavel N. Krivitsky
Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. Soc. Networks 31(3): 204-213 (2009) - 2008
- [j2]Michael S. Rendall, Ryan Admiraal, Alessandra DeRose
Population constraints on pooled surveys in demographic hazard modeling. Stat. Methods Appl. 17(4): 519-539 (2008) - 2007
- [j1]Garry Robins
Recent developments in exponential random graph (p*) models for social networks. Soc. Networks 29(2): 192-215 (2007) - 2006
- [c2]David Krackhardt, Mark S. Handcock
Heider vs Simmel: Emergent Features in Dynamic Structures. SNA@ICML 2006: 14-27 - [c1]Mark S. Handcock
A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering. SNA@ICML 2006: 103-114
Coauthor Index
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