{"id":"https://openalex.org/W2771073891","doi":"https://doi.org/10.1145/3134672","title":"Identifying Misaligned Inter-Group Links and Communities","display_name":"Identifying Misaligned Inter-Group Links and Communities","publication_year":2017,"publication_date":"2017-12-06","ids":{"openalex":"https://openalex.org/W2771073891","doi":"https://doi.org/10.1145/3134672","mag":"2771073891"},"language":"en","primary_location":{"id":"doi:10.1145/3134672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3134672","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","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/A5052107508","display_name":"Srayan Datta","orcid":"https://orcid.org/0000-0002-5800-830X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srayan Datta","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015503476","display_name":"Chanda Phelan","orcid":"https://orcid.org/0000-0003-4453-7531"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chanda Phelan","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064931337","display_name":"Eytan Adar","orcid":"https://orcid.org/0000-0003-1911-836X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eytan Adar","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052107508"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.8602,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.7342956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":"CSCW","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T10557","display_name":"Social Media and Politics","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.677110493183136},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.645105242729187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108480095863342},{"id":"https://openalex.org/keywords/decipher","display_name":"DECIPHER","score":0.6026419997215271},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5850256681442261},{"id":"https://openalex.org/keywords/fragmentation","display_name":"Fragmentation (computing)","score":0.4998631477355957},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.45779284834861755},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45343390107154846},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43325960636138916},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4296181797981262},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33622485399246216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3087230324745178},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3040451109409332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20457488298416138}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.677110493183136},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.645105242729187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108480095863342},{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.6026419997215271},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5850256681442261},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.4998631477355957},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.45779284834861755},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45343390107154846},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43325960636138916},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4296181797981262},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33622485399246216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3087230324745178},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3040451109409332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20457488298416138},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3134672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3134672","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7523753176","display_name":null,"funder_award_id":"IIS-1421438","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W91442942","https://openalex.org/W105055686","https://openalex.org/W1880262756","https://openalex.org/W1966119405","https://openalex.org/W1993222074","https://openalex.org/W1998970095","https://openalex.org/W2013679213","https://openalex.org/W2017102965","https://openalex.org/W2019502441","https://openalex.org/W2025543856","https://openalex.org/W2037933327","https://openalex.org/W2038793346","https://openalex.org/W2046011722","https://openalex.org/W2047940964","https://openalex.org/W2056897951","https://openalex.org/W2059180079","https://openalex.org/W2089458547","https://openalex.org/W2090372231","https://openalex.org/W2095264893","https://openalex.org/W2098509290","https://openalex.org/W2116819994","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2132914434","https://openalex.org/W2138621811","https://openalex.org/W2151051036","https://openalex.org/W2151936673","https://openalex.org/W2152284345","https://openalex.org/W2154454189","https://openalex.org/W2164998314","https://openalex.org/W2210522918","https://openalex.org/W2296013067","https://openalex.org/W2395678419","https://openalex.org/W2399480376","https://openalex.org/W2401491523","https://openalex.org/W2405042511","https://openalex.org/W2513567506","https://openalex.org/W2514580187","https://openalex.org/W2515043645","https://openalex.org/W2559079421","https://openalex.org/W2587842785","https://openalex.org/W2610483642","https://openalex.org/W2611802400","https://openalex.org/W2619228097","https://openalex.org/W2949603202","https://openalex.org/W2950059690","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2950723275","https://openalex.org/W3099402906","https://openalex.org/W3101413764"],"related_works":["https://openalex.org/W2115350162","https://openalex.org/W2330145053","https://openalex.org/W4249875204","https://openalex.org/W4242620632","https://openalex.org/W3205440178","https://openalex.org/W4256069380","https://openalex.org/W2416520078","https://openalex.org/W2113606293","https://openalex.org/W2409656713","https://openalex.org/W4379618494"],"abstract_inverted_index":{"Many":[0],"social":[1,22,190],"media":[2],"systems":[3,26],"explicitly":[4,43],"connect":[5],"individuals":[6],"(e.g.,":[7,36],"Facebook":[8],"or":[9,30,38,59,90,117],"Twitter);":[10],"as":[11,57],"a":[12],"result,":[13],"they":[14],"are":[15,128],"the":[16],"targets":[17],"of":[18,151],"most":[19],"research":[20],"on":[21,53,63],"networks.":[23],"However,":[24],"many":[25],"do":[27],"not":[28],"emphasize":[29],"support":[31],"explicit":[32],"linking":[33],"between":[34,92],"people":[35,150],"Wikipedia":[37],"Reddit),":[39],"and":[40,68,168],"even":[41],"fewer":[42],"link":[44],"communities.":[45,169],"Instead,":[46],"network":[47,166],"analysis":[48],"is":[49,66],"performed":[50],"through":[51],"inference":[52,65],"implicit":[54],"connections,":[55],"such":[56],"co-authorship":[58],"text":[60],"similarity.":[61],"Depending":[62],"how":[64,179],"done":[67],"what":[69],"data":[70],"drove":[71],"it,":[72],"different":[73],"networks":[74,94],"may":[75],"emerge.":[76],"While":[77],"correlated":[78],"structures":[79,167],"often":[80,106],"indicate":[81],"stability,":[82],"in":[83,139,189],"this":[84,156],"work":[85],"we":[86,127,134,158],"demonstrate":[87,178],"that":[88,137,161],"differences,":[89],"misalignment,":[91],"inferred":[93],"also":[95,135],"capture":[96],"interesting":[97],"behavioral":[98],"patterns.":[99],"For":[100],"example,":[101],"high-text":[102],"but":[103,119],"low-author":[104],"similarity":[105,121],"reveals":[107],"communities":[108],"\"at":[109],"war\"":[110],"with":[111,143],"each":[112],"other":[113],"over":[114],"an":[115],"issue":[116],"high-author":[118],"low-text":[120],"can":[122,162,182],"suggest":[123],"community":[124],"fragmentation.":[125],"Because":[126],"able":[129],"to":[130,148,175,177,185],"model":[131],"edge":[132],"direction,":[133],"find":[136],"asymmetry":[138],"degree":[140],"(in-versus-out)":[141],"co-occurs":[142],"marginalized":[144],"identities":[145],"(subreddits":[146],"related":[147],"women,":[149],"color,":[152],"LGBTQ,":[153],"etc.).":[154],"In":[155],"work,":[157],"provide":[159],"algorithms":[160,181],"identify":[163],"misaligned":[164],"links,":[165],"We":[170],"then":[171],"apply":[172],"these":[173,180],"techniques":[174],"Reddit":[176],"be":[183],"used":[184],"decipher":[186],"inter-group":[187],"dynamics":[188],"media.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}