{"id":"https://openalex.org/W4379474596","doi":"https://doi.org/10.1145/3580305.3599847","title":"Influence Maximization with Fairness at Scale","display_name":"Influence Maximization with Fairness at Scale","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4379474596","doi":"https://doi.org/10.1145/3580305.3599847"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.01587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102781976","display_name":"Yuting Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["FR","SG"],"is_corresponding":true,"raw_author_name":"Yuting Feng","raw_affiliation_strings":["University Paris-Saclay & CNRS LISN, Orsay, France","IPAL - Image & Pervasive Access Lab (Institute for Infocomm Research 1 Fusionopolis Way #21-01 Connexis (South Tower) Singapore 138632 - Singapore)"],"affiliations":[{"raw_affiliation_string":"University Paris-Saclay & CNRS LISN, Orsay, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IPAL - Image & Pervasive Access Lab (Institute for Infocomm Research 1 Fusionopolis Way #21-01 Connexis (South Tower) Singapore 138632 - Singapore)","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028506982","display_name":"Ankitkumar N. Patel","orcid":"https://orcid.org/0009-0004-8311-2717"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankitkumar Patel","raw_affiliation_strings":["University of California - Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California - Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070592874","display_name":"Bogdan Cautis","orcid":"https://orcid.org/0000-0003-3497-042X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I4210094239","display_name":"Image and Pervasive Access Laboratory","ror":"https://ror.org/00m3mb357","country_code":"SG","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210094239"]}],"countries":["FR","SG"],"is_corresponding":false,"raw_author_name":"Bogdan Cautis","raw_affiliation_strings":["University Paris-Saclay & CNRS IPAL Singapore, Singapore, Singapore","CNRS - Centre National de la Recherche Scientifique (France)","IPAL - Image & Pervasive Access Lab (Institute for Infocomm Research 1 Fusionopolis Way #21-01 Connexis (South Tower) Singapore 138632 - Singapore)"],"affiliations":[{"raw_affiliation_string":"University Paris-Saclay & CNRS IPAL Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210094239"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IPAL - Image & Pervasive Access Lab (Institute for Infocomm Research 1 Fusionopolis Way #21-01 Connexis (South Tower) Singapore 138632 - Singapore)","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089268257","display_name":"Hossein Vahabi","orcid":"https://orcid.org/0009-0006-0396-6742"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Vahabi","raw_affiliation_strings":["University of California - Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California - Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102781976"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":1.6309,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8206681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4046","last_page":"4055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9944999814033508,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8101539611816406},{"id":"https://openalex.org/keywords/influencer-marketing","display_name":"Influencer marketing","score":0.6958471536636353},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6882719993591309},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6231271624565125},{"id":"https://openalex.org/keywords/information-cascade","display_name":"Information cascade","score":0.6216405034065247},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.54488205909729},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5235064625740051},{"id":"https://openalex.org/keywords/viral-marketing","display_name":"Viral marketing","score":0.4863317608833313},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4744373857975006},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46747633814811707},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4579935669898987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4114561080932617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39541253447532654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3792870044708252},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3396415114402771},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.24194106459617615},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.18334916234016418},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13018745183944702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0938768982887268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101539611816406},{"id":"https://openalex.org/C26011011","wikidata":"https://www.wikidata.org/wiki/Q6030243","display_name":"Influencer marketing","level":4,"score":0.6958471536636353},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6882719993591309},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6231271624565125},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.6216405034065247},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.54488205909729},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5235064625740051},{"id":"https://openalex.org/C187008535","wikidata":"https://www.wikidata.org/wiki/Q204255","display_name":"Viral marketing","level":3,"score":0.4863317608833313},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4744373857975006},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46747633814811707},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4579935669898987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4114561080932617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39541253447532654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3792870044708252},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3396415114402771},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.24194106459617615},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18334916234016418},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13018745183944702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0938768982887268},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C192975520","wikidata":"https://www.wikidata.org/wiki/Q1143466","display_name":"Marketing management","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C54649085","wikidata":"https://www.wikidata.org/wiki/Q574424","display_name":"Relationship marketing","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3580305.3599847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2306.01587","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.01587","pdf_url":"https://arxiv.org/pdf/2306.01587","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt30v888tv","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/30v888tv","pdf_url":"https://escholarship.org/content/qt30v888tv/qt30v888tv.pdf?t=s867cj","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:HAL:hal-04193116v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04193116","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2023, Long Beach, United States. pp.4046-4055, ⟨10.1145/3580305.3599847⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.01587","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.01587","pdf_url":"https://arxiv.org/pdf/2306.01587","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G7758152977","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322892","funder_display_name":"Centre National de la Recherche Scientifique"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379474596.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1572431862","https://openalex.org/W1940559095","https://openalex.org/W1967579779","https://openalex.org/W2061820396","https://openalex.org/W2154851992","https://openalex.org/W2296752489","https://openalex.org/W2612735401","https://openalex.org/W2792990871","https://openalex.org/W2795034086","https://openalex.org/W2804758507","https://openalex.org/W2914307045","https://openalex.org/W2946699248","https://openalex.org/W2962756421","https://openalex.org/W2965173882","https://openalex.org/W3022163979","https://openalex.org/W3033510986","https://openalex.org/W3034616536","https://openalex.org/W3091856181","https://openalex.org/W3104097132","https://openalex.org/W3106031147","https://openalex.org/W3158511434","https://openalex.org/W3175660618","https://openalex.org/W3207021311","https://openalex.org/W4288366087"],"related_works":["https://openalex.org/W2187722173","https://openalex.org/W1969702312","https://openalex.org/W1994068555","https://openalex.org/W3101254380","https://openalex.org/W2962891546","https://openalex.org/W4399558842","https://openalex.org/W2136621081","https://openalex.org/W2961317356","https://openalex.org/W2902193799","https://openalex.org/W2998073084"],"abstract_inverted_index":{"In":[0,187],"this":[1,59,112],"paper,":[2],"we":[3,114,265],"revisit":[4],"the":[5,21,49,53,68,107,143,153,173,183,198,222,240,262,282],"problem":[6,60],"of":[7,23,85,106,145,233,242,287],"influence":[8,174],"maximization":[9],"with":[10,81,117,180],"fairness,":[11,289],"which":[12,259],"aims":[13],"to":[14,19,73,79,148,182,230],"select":[15],"k":[16],"influential":[17],"nodes":[18],"maximise":[20],"spread":[22,101],"information":[24,147,155,193,205],"in":[25,111,168,197,285],"a":[26,75,158,246,254],"network,":[27,269],"while":[28,176,201],"ensuring":[29],"that":[30,91,171,226,264,278],"selected":[31],"sensitive":[32,185,234],"user":[33,139,273],"attributes":[34,235],"(e.g.,":[35],"gender,":[36],"location,":[37],"origin,":[38],"race,":[39],"etc.)":[40],"are":[41,45,150,165,194,218],"fairly":[42],"affected,":[43],"i.e.,":[44],"proportionally":[46],"similar":[47],"between":[48,213],"original":[50],"network":[51],"and":[52,110,131,190,208,220,252,272,290],"affected":[54],"users.":[55],"Recent":[56],"studies":[57],"on":[58,63,71,94,245,253],"focused":[61],"only":[62],"extremely":[64],"small":[65],"networks,":[66],"hence":[67],"challenge":[69],"remains":[70],"how":[72],"achieve":[74],"scalable":[76],"solution,":[77],"applicable":[78],"networks":[80],"millions":[82],"or":[83],"billions":[84],"nodes.":[86],"We":[87,121,238],"propose":[88,122],"an":[89],"approach":[90],"is":[92],"based":[93],"learning":[95],"node":[96],"representations":[97],"(embeddings)":[98],"for":[99],"fair":[100,179],"from":[102,152],"diffusion":[103,268,270],"cascades,":[104,156],"instead":[105],"social":[108],"connectivity,":[109],"way":[113],"can":[115,227],"deal":[116],"very":[118],"large":[119],"graphs.":[120],"two":[123],"data-driven":[124],"approaches:":[125],"(a)":[126],"fairness-based":[127],"participant":[128],"sampling":[129],"(FPS),":[130],"(b)":[132],"fairness":[133,189],"as":[134,142],"context":[135],"(FAC).":[136],"Spread":[137],"related":[138],"features,":[140],"such":[141],"probability":[144],"diffusing":[146],"others,":[149],"derived":[151],"historical":[154],"using":[157],"deep":[159],"neural":[160],"network.":[161],"The":[162,215],"extracted":[163],"features":[164],"then":[166],"used":[167],"selecting":[169],"influencers":[170],"maximize":[172],"spread,":[175,288],"being":[177],"also":[178],"respect":[181],"chosen":[184],"attributes.":[186],"FPS,":[188],"cascade":[191],"length":[192],"considered":[195],"independently":[196],"decision-making":[199],"process,":[200],"FAC":[202],"considers":[203],"these":[204],"facets":[206,263],"jointly":[207],"takes":[209],"into":[210],"account":[211],"correlations":[212],"them.":[214],"proposed":[216],"algorithms":[217],"generic":[219],"represent":[221],"first":[223],"policy-driven":[224],"solutions":[225,244,284],"be":[228],"applied":[229],"arbitrary":[231],"sets":[232],"at":[236],"scale.":[237],"evaluate":[239],"performance":[241],"our":[243,279],"real-world":[247],"public":[248],"dataset":[249,257],"(Sina":[250],"Weibo)":[251],"hybrid":[255],"real-synthetic":[256],"(Digg),":[258],"exhibit":[260],"all":[261],"exploit,":[266],"namely":[267],"traces,":[271],"profiles.":[274],"These":[275],"experiments":[276],"show":[277],"methods":[280],"outperform":[281],"state-the-art":[283],"terms":[286],"scalability.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2023-06-07T00:00:00"}