{"id":"https://openalex.org/W2999426070","doi":"https://doi.org/10.1145/3341161.3342915","title":"Debiasing community detection","display_name":"Debiasing community detection","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W2999426070","doi":"https://doi.org/10.1145/3341161.3342915","mag":"2999426070"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3342915","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341161.3342915","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341161.3342915","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3341161.3342915","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056269049","display_name":"Ninareh Mehrabi","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ninareh Mehrabi","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002709735","display_name":"Fred Morstatter","orcid":"https://orcid.org/0000-0002-0247-4328"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Morstatter","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030248499","display_name":"Nanyun Peng","orcid":"https://orcid.org/0000-0002-8509-6595"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanyun Peng","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101715504","display_name":"Aram Galstyan","orcid":"https://orcid.org/0000-0003-4215-0886"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aram Galstyan","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"509","last_page":"512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9922999739646912,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/jaccard-index","display_name":"Jaccard index","score":0.951592206954956},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.8130406141281128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7872020602226257},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6667165756225586},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5669162273406982},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.5275313854217529},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.43806999921798706},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.43556949496269226},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.42123326659202576},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41388311982154846},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39162927865982056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3289044499397278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227289915084839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2755165696144104},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2732239365577698},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.27103742957115173},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.19445130228996277},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10333141684532166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09371411800384521},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07910144329071045}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.951592206954956},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.8130406141281128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872020602226257},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6667165756225586},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5669162273406982},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.5275313854217529},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.43806999921798706},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.43556949496269226},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.42123326659202576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41388311982154846},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39162927865982056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3289044499397278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227289915084839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2755165696144104},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2732239365577698},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.27103742957115173},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.19445130228996277},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10333141684532166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09371411800384521},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07910144329071045},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341161.3342915","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341161.3342915","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341161.3342915","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3341161.3342915","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341161.3342915","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341161.3342915","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1170203288","display_name":null,"funder_award_id":"HR0011890019","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999426070.pdf","grobid_xml":"https://content.openalex.org/works/W2999426070.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1751403428","https://openalex.org/W1845748792","https://openalex.org/W2046011722","https://openalex.org/W2131681506","https://openalex.org/W2139694940","https://openalex.org/W2337940250","https://openalex.org/W2406808456","https://openalex.org/W2583803680","https://openalex.org/W2788579977","https://openalex.org/W2799124522","https://openalex.org/W2835252343","https://openalex.org/W2903202239","https://openalex.org/W2951271819","https://openalex.org/W3099768174","https://openalex.org/W3102647957","https://openalex.org/W3122605581","https://openalex.org/W3126033509","https://openalex.org/W4211099384"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2075666982","https://openalex.org/W2065835655","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170","https://openalex.org/W1594712698","https://openalex.org/W2499535628"],"abstract_inverted_index":{"Community":[0],"detection":[1,29],"is":[2,76],"an":[3,73],"important":[4],"task":[5],"in":[6,55,98],"social":[7,20],"network":[8],"analysis,":[9],"allowing":[10],"us":[11],"to":[12,33,40,45],"identify":[13],"and":[14,102],"understand":[15],"the":[16,19,24,95,108],"communities":[17,48],"within":[18],"structures":[21],"provided":[22],"by":[23,83],"network.":[25],"However,":[26],"many":[27],"community":[28],"approaches":[30],"either":[31],"fail":[32],"assign":[34,43],"low-degree":[35,111],"(or":[36],"lowly":[37,80],"connected)":[38],"users":[39,65,82],"communities,":[41],"or":[42],"them":[44,51,85],"trivially":[46],"small":[47],"that":[49,75,91],"prevent":[50],"from":[52],"being":[53],"included":[54],"analysis.":[56],"In":[57],"this":[58],"work":[59],"we":[60],"investigate":[61],"how":[62],"excluding":[63],"these":[64],"can":[66],"bias":[67,109],"analysis":[68],"results.":[69],"We":[70],"then":[71],"introduce":[72],"approach":[74,93],"more":[77],"inclusive":[78],"for":[79],"connected":[81],"incorporating":[84],"into":[86],"larger":[87],"groups.":[88],"Experiments":[89],"show":[90],"our":[92],"outperforms":[94],"existing":[96],"state-of-the-art":[97],"terms":[99],"of":[100],"F1":[101],"Jaccard":[103],"similarity":[104],"scores":[105],"while":[106],"reducing":[107],"towards":[110],"users.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
