{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ergm-4-computational-improvements","title":"ergm 4: Computational Improvements","arxiv_id":"2203.08198","date":"2022-03-15","proceeding":null,"authors":["Pavel N. Krivitsky","David R. Hunter","Martina Morris","Chad Klumb"],"abstract":"The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue in Journal of Statistical Software in 2008. This article provides an overview of the performance improvements in the 2021 release of ergm version 4. These include performance enhancements to the Markov chain Monte Carlo and maximum likelihood estimation algorithms as well as broader and faster searching for networks with certain target statistics using simulated annealing.","url_abs":"https://arxiv.org/abs/2203.08198v1","url_pdf":"https://arxiv.org/pdf/2203.08198v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"ergm-4-computational-improvements","repo_url":"https://github.com/statnet/ergm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}