The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects
Open accessAbstract
Exponential-family random graph models (ERGMs) represent the processes that govern the formation of links in networks through the terms selected by the user. The terms specify network statistics that are sufficient to represent the probability distribution over the space of networks of that size. Many classes of statistics can be used. In this article we describe the classes of statistics that are currently available in the ergm package. We also describe means for controlling the Markov chain Monte Carlo (MCMC) algorithm that the package uses for estimation. These controls a ect either the proposal distribution on the sample space used by the underlying Metropolis-Hastings algorithm or the constraints on the sample space itself. Finally, we describe various other arguments to core functions of the ergm package.
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Cites
Spatial Interaction and the Statistical Analysis of Lattice Systems
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New Specifications for Exponential Random Graph Models
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Self-citationergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., & Morris, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v024.i03 · Cited by 1,283
Self-citationAn Exponential Family of Probability Distributions for Directed Graphs
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Self-citationMarkov chain Monte Carlo estimation of exponential random graph models
Snijders, T. A. B. (2002) · Cited by 712
Inference in Curved Exponential Family Models for Networks
Hunter, D. R., & Handcock, M. S. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x133069 · Cited by 525
Self-citationCurved exponential family models for social networks
Hunter, D. R. (2007) · Social Networks · doi:10.1016/j.socnet.2006.08.005 · Cited by 477
Self-citationSocial Network Analysis with sna
Butts, C. T. (2008) · Journal of Statistical Software · doi:10.18637/jss.v024.i06 · Cited by 468
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A Survey of Statistical Network Models
Goldenberg, A., Zheng, A. X., Fienberg, S. E., & Airoldi, E. M. (2010) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000005 · Cited by 819
Exponential-family random graph models for valued networks
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Cranmer, S. J., Leifeld, P., McClurg, S. D., & Rolfe, M. (2017) · American Journal of Political Science · doi:10.1111/ajps.12263 · Cited by 214
Why do we think we know what we know? A metaknowledge analysis of the salt controversy
Trinquart, L., Johns, D. M., & Galea, S. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyv184 · Cited by 77
Metadata
- Authors
- Morris, M., Handcock, M. S., & Hunter, D. R.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2008
- Volume
- 24
- Issue
- 4
- Pages
- 1548-7660
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2145622908
- Cited by
- 406
- References
- 15
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- diamond
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