{"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/generative-models-for-local-network-community","title":"Generative models for local network community detection","arxiv_id":"1804.04469","date":"2018-04-12","proceeding":null,"authors":["Twan van Laarhoven"],"abstract":"Local network community detection aims to find a single community in a large\nnetwork, while inspecting only a small part of that network around a given seed\nnode. This is much cheaper than finding all communities in a network. Most\nmethods for local community detection are formulated as ad-hoc optimization\nproblems. In this work, we instead start from a generative model for networks\nwith community structure. By assuming that the network is uniform, we can\napproximate the structure of unobserved parts of the network to obtain a method\nfor local community detection. We apply this local approximation technique to\ntwo variants of the stochastic block model. To our knowledge, this results in\nthe first local community detection methods based on probabilistic models.\nInterestingly, in the limit, one of the proposed approximations corresponds to\nconductance, a popular metric in this field. Experiments on real and synthetic\ndatasets show comparable or improved results compared to state-of-the-art local\ncommunity detection algorithms.","url_abs":"http://arxiv.org/abs/1804.04469v1","url_pdf":"http://arxiv.org/pdf/1804.04469v1.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":"abstracts"},"code_links":[{"paper_slug":"generative-models-for-local-network-community","repo_url":"https://github.com/yixuanli/lemon","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"community-detection","task_name":"Community Detection"},{"task_slug":"local-community-detection","task_name":"Local Community Detection"},{"task_slug":"stochastic-block-model","task_name":"Stochastic Block Model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}