{"id":"https://openalex.org/W4312765260","doi":"https://doi.org/10.14778/3551793.3551824","title":"Maximizing fair content spread via edge suggestion in social networks","display_name":"Maximizing fair content spread via edge suggestion in social networks","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4312765260","doi":"https://doi.org/10.14778/3551793.3551824"},"language":"en","primary_location":{"id":"doi:10.14778/3551793.3551824","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3551793.3551824","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","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/A5030025053","display_name":"Ian P. Swift","orcid":null},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian P. Swift","raw_affiliation_strings":["University of Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044552372","display_name":"Sana Ebrahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sana Ebrahimi","raw_affiliation_strings":["University of Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053888839","display_name":"Azade Nova","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azade Nova","raw_affiliation_strings":["Google Brain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Brain","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027319416","display_name":"Abolfazl Asudeh","orcid":"https://orcid.org/0000-0002-5251-6186"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abolfazl Asudeh","raw_affiliation_strings":["University of Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3774,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81219424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"15","issue":"11","first_page":"2692","last_page":"2705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/scalability","display_name":"Scalability","score":0.7446753978729248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156827449798584},{"id":"https://openalex.org/keywords/randomized-rounding","display_name":"Randomized rounding","score":0.5960968136787415},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.573616623878479},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.47838321328163147},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.44813215732574463},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4445266127586365},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4292525053024292},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4162624180316925},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41213199496269226},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35792163014411926},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32774752378463745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25071728229522705},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2330547273159027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16393199563026428},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10793054103851318}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7446753978729248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156827449798584},{"id":"https://openalex.org/C32029473","wikidata":"https://www.wikidata.org/wiki/Q7292010","display_name":"Randomized rounding","level":3,"score":0.5960968136787415},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.573616623878479},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.47838321328163147},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.44813215732574463},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4445266127586365},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4292525053024292},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4162624180316925},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41213199496269226},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35792163014411926},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32774752378463745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25071728229522705},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2330547273159027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16393199563026428},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10793054103851318},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3551793.3551824","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3551793.3551824","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W138321218","https://openalex.org/W950821216","https://openalex.org/W1554960070","https://openalex.org/W1559880292","https://openalex.org/W1819662813","https://openalex.org/W1961345416","https://openalex.org/W1964869462","https://openalex.org/W1965925713","https://openalex.org/W1984069252","https://openalex.org/W1999101712","https://openalex.org/W1999380327","https://openalex.org/W2014352947","https://openalex.org/W2021314079","https://openalex.org/W2027514326","https://openalex.org/W2041707755","https://openalex.org/W2042123098","https://openalex.org/W2056609785","https://openalex.org/W2061820396","https://openalex.org/W2100960835","https://openalex.org/W2106126633","https://openalex.org/W2107666336","https://openalex.org/W2111708605","https://openalex.org/W2116984840","https://openalex.org/W2119974829","https://openalex.org/W2144009057","https://openalex.org/W2150997454","https://openalex.org/W2178519838","https://openalex.org/W2288746969","https://openalex.org/W2544588668","https://openalex.org/W2563852449","https://openalex.org/W2585682652","https://openalex.org/W2588799281","https://openalex.org/W2613096873","https://openalex.org/W2617970780","https://openalex.org/W2734474937","https://openalex.org/W2736177616","https://openalex.org/W2752885492","https://openalex.org/W2782658688","https://openalex.org/W2788511425","https://openalex.org/W2792990871","https://openalex.org/W2808301831","https://openalex.org/W2896331720","https://openalex.org/W2897010186","https://openalex.org/W2905230593","https://openalex.org/W2914307045","https://openalex.org/W2946696351","https://openalex.org/W2948130259","https://openalex.org/W2956633086","https://openalex.org/W2962762307","https://openalex.org/W2962972034","https://openalex.org/W2963716229","https://openalex.org/W2963917042","https://openalex.org/W2996935963","https://openalex.org/W2997798260","https://openalex.org/W2997837569","https://openalex.org/W3013137889","https://openalex.org/W3022163979","https://openalex.org/W3034616536","https://openalex.org/W3085666889","https://openalex.org/W3094607559","https://openalex.org/W3106031147","https://openalex.org/W3118621910","https://openalex.org/W3125924446","https://openalex.org/W3128618092","https://openalex.org/W3167386453","https://openalex.org/W3173874427","https://openalex.org/W3174324482","https://openalex.org/W3174834916","https://openalex.org/W3204567843","https://openalex.org/W4245588319","https://openalex.org/W4281400173","https://openalex.org/W4281811562","https://openalex.org/W4281966390","https://openalex.org/W4282574503","https://openalex.org/W6638208828"],"related_works":["https://openalex.org/W1581948717","https://openalex.org/W1941111399","https://openalex.org/W2268207117","https://openalex.org/W4313357160","https://openalex.org/W4300488607","https://openalex.org/W1916943706","https://openalex.org/W2951095575","https://openalex.org/W2105543801","https://openalex.org/W2002272911","https://openalex.org/W2561769964"],"abstract_inverted_index":{"Content":[0],"spread":[1,37,65,221],"inequity":[2],"is":[3,93],"a":[4,23,46,78,146,201,205,209],"potential":[5,49],"unfairness":[6,189,214],"issue":[7],"in":[8,26,54,97,141],"online":[9],"social":[10,27],"networks,":[11],"disparately":[12],"impacting":[13],"minority":[14],"groups.":[15],"In":[16,40],"this":[17],"paper,":[18],"we":[19,42,111,144,170],"view":[20],"friendship":[21,86],"suggestion,":[22],"common":[24],"feature":[25],"network":[28,56],"platforms,":[29],"as":[30],"an":[31,35,113],"opportunity":[32],"to":[33,44,59,164,215],"achieve":[34],"equitable":[36],"of":[38,48,70,83,107,138,153],"content.":[39],"particular,":[41],"propose":[43,112,145],"suggest":[45],"subset":[47],"edges":[50],"(currently":[51],"not":[52],"existing":[53,73,85],"the":[55,72,84,91,108,136,193,213],"but":[57],"likely":[58],"be":[60],"accepted)":[61],"that":[62,149],"maximizes":[63],"content":[64,128,194,220],"while":[66,190,218],"achieving":[67],"fairness.":[68],"Instead":[69],"re-engineering":[71],"systems,":[74],"our":[75,139,183],"proposal":[76],"builds":[77],"fairness":[79,109,126],"wrapper":[80],"on":[81,116,125,174,208],"top":[82],"suggestion":[87],"components.":[88],"We":[89,130],"prove":[90],"problem":[92],"NP-hard":[94],"and":[95,118,127,159,176],"inapproximable":[96],"polynomial":[98],"time":[99],"unless":[100],"P":[101],"=":[102],"NP.":[103],"Therefore,":[104],"allowing":[105],"relaxation":[106],"constraint,":[110],"algorithm":[114,140,148,198],"based":[115],"LP-relaxation":[117],"randomized":[119],"rounding":[120],"with":[121,187,203],"fixed":[122],"approximation":[123],"ratios":[124],"spread.":[129,195],"provide":[131],"multiple":[132],"optimizations,":[133],"further":[134],"improving":[135],"performance":[137],"practice.":[142],"Besides,":[143],"scalable":[147,197],"dynamically":[150],"adds":[151],"subsets":[152],"nodes,":[154],"chosen":[155],"via":[156],"iterative":[157],"sampling,":[158],"solves":[160],"smaller":[161],"problems":[162],"corresponding":[163],"these":[165],"nodes.":[166],"Besides":[167],"theoretical":[168],"analysis,":[169],"conduct":[171],"comprehensive":[172],"experiments":[173],"real":[175],"synthetic":[177],"data":[178],"sets.":[179],"Across":[180],"different":[181],"settings,":[182],"algorithms":[184],"found":[185],"solutions":[186],"near-zero":[188],"significantly":[191],"increasing":[192],"Our":[196],"could":[199],"process":[200],"graph":[202],"half":[204],"million":[206],"nodes":[207],"single":[210],"machine,":[211],"reducing":[212],"around":[216],"0.0004":[217],"lifting":[219],"by":[222],"43%.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
