{"id":"https://openalex.org/W2058262721","doi":"https://doi.org/10.1109/allerton.2014.7028467","title":"Overlap graph clustering via successive removal","display_name":"Overlap graph clustering via successive removal","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2058262721","doi":"https://doi.org/10.1109/allerton.2014.7028467","mag":"2058262721"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2014.7028467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2014.7028467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052122471","display_name":"Avik Ray","orcid":"https://orcid.org/0000-0002-0047-7453"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avik Ray","raw_affiliation_strings":["University of Texas at Austint, Columbia University","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austint, Columbia University","institution_ids":["https://openalex.org/I78577930","https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062344673","display_name":"Javad Ghaderi","orcid":"https://orcid.org/0000-0001-8038-550X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javad Ghaderi","raw_affiliation_strings":["University of Texas at Austint, Columbia University","Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austint, Columbia University","institution_ids":["https://openalex.org/I78577930","https://openalex.org/I86519309"]},{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110619770","display_name":"Sujay Sanghavi","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujay Sanghavi","raw_affiliation_strings":["University of Texas at Austin","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028903768","display_name":"Sanjay Shakkottai","orcid":"https://orcid.org/0000-0002-4325-9050"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Shakkottai","raw_affiliation_strings":["University of Texas at Austint, Columbia University","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austint, Columbia University","institution_ids":["https://openalex.org/I78577930","https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2901,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55171386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"278","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737149357795715},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.645150899887085},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4966350197792053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47626182436943054},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46935683488845825},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4179248809814453},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.4111425280570984},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.25980091094970703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20434826612472534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19221514463424683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737149357795715},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.645150899887085},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4966350197792053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47626182436943054},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46935683488845825},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4179248809814453},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.4111425280570984},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.25980091094970703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20434826612472534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19221514463424683},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2014.7028467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2014.7028467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W857387926","https://openalex.org/W1555218020","https://openalex.org/W1605711022","https://openalex.org/W1771423625","https://openalex.org/W1908400401","https://openalex.org/W1967184357","https://openalex.org/W1977713568","https://openalex.org/W1986774830","https://openalex.org/W1989042829","https://openalex.org/W2003798029","https://openalex.org/W2015953751","https://openalex.org/W2022704179","https://openalex.org/W2066828202","https://openalex.org/W2068015060","https://openalex.org/W2097777089","https://openalex.org/W2102553736","https://openalex.org/W2107107106","https://openalex.org/W2110620844","https://openalex.org/W2111040408","https://openalex.org/W2111565546","https://openalex.org/W2118085414","https://openalex.org/W2127048411","https://openalex.org/W2138684607","https://openalex.org/W2167026441","https://openalex.org/W2912369344","https://openalex.org/W2949570812","https://openalex.org/W2963798309","https://openalex.org/W3102641634","https://openalex.org/W3104227803","https://openalex.org/W4292081303","https://openalex.org/W6623753063","https://openalex.org/W6676274861","https://openalex.org/W6676847830","https://openalex.org/W6677376102"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W2942177010"],"abstract_inverted_index":{"We":[0,59],"study":[1],"the":[2,57,64,67,75],"following":[3],"question:":[4],"given":[5],"a":[6,12,30],"graph":[7],"that":[8,77,85],"represents":[9],"interactions":[10],"in":[11,29,78],"real":[13],"system,":[14],"can":[15,53],"we":[16,26,43],"group":[17],"vertices":[18,33,84],"with":[19],"similar":[20],"interests":[21],"together?":[22],"In":[23,40],"many":[24,79],"applications,":[25],"are":[27,82],"often":[28,83],"setting":[31],"where":[32],"may":[34],"potentially":[35],"belong":[36,87],"to":[37,88],"multiple":[38],"communities.":[39,58],"this":[41],"paper,":[42],"propose":[44],"an":[45],"efficient":[46],"algorithm":[47,68],"for":[48],"overlapping":[49],"community":[50],"detection":[51],"which":[52],"successively":[54],"recover":[55],"all":[56],"provide":[60],"theoretical":[61],"guarantees":[62],"on":[63],"performance":[65],"of":[66],"by":[69],"leveraging":[70],"convex":[71],"relaxation":[72],"and":[73],"exploiting":[74],"fact":[76],"networks":[80],"there":[81],"only":[86],"one":[89],"community.":[90]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}