{"id":152654,"date":"2002-12-01T00:00:00","date_gmt":"2002-12-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/a-concentric-circle-model-for-community-mining\/"},"modified":"2018-10-16T20:08:27","modified_gmt":"2018-10-17T03:08:27","slug":"a-concentric-circle-model-for-community-mining","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/a-concentric-circle-model-for-community-mining\/","title":{"rendered":"A Concentric-Circle Model for Community Mining"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Discovering communities from a graph structure such as the Web has become an interesting research problem recently. In this paper, comparing with the state-of-the-art authority detecting and graph partitioning methods, we propose a concentric-circle model to more accurately define communities. With this model, a community could be described as a set of concentric-circles. The most important objects representing the concept of a whole community lie in the center and are called core objects. Affiliated objects, which are related to the core objects, surround the core with different ranks. Base on the concentric-circle model, a novel algorithm is developed to discover communities conforming to this model. We also conducted a case study to automatically discover research interest groups in the computer science domain from the Web. Experiments show that our method is very effective to generate high-quality communities with more clear structure and more tunable granularity.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discovering communities from a graph structure such as the Web has become an interesting research problem recently. In this paper, comparing with the state-of-the-art authority detecting and graph partitioning methods, we propose a concentric-circle model to more accurately define communities. With this model, a community could be described as a set of concentric-circles. The most [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2002-123","msr_organization":"","msr_pages_string":"9","msr_page_range_start":"9","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Wen-Jun Zhou","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"Microsoft 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