{"id":"https://openalex.org/W3038050450","doi":"https://doi.org/10.14778/3397230.3397244","title":"Efficient algorithms for budgeted influence maximization on massive social networks","display_name":"Efficient algorithms for budgeted influence maximization on massive social networks","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3038050450","doi":"https://doi.org/10.14778/3397230.3397244","mag":"3038050450"},"language":"en","primary_location":{"id":"doi:10.14778/3397230.3397244","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3397230.3397244","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/A5059053886","display_name":"Song Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Bian","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009527915","display_name":"Qintian Guo","orcid":"https://orcid.org/0000-0001-9581-9817"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qintian Guo","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736050","display_name":"Sibo Wang","orcid":"https://orcid.org/0000-0003-1892-6971"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibo Wang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059053886"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":4.9592,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.95989238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":"9","first_page":"1498","last_page":"1510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.972000002861023,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/maximization","display_name":"Maximization","score":0.8147121667861938},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.727683961391449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743772625923157},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.642254114151001},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6343028545379639},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6240456104278564},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6098493337631226},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5935786962509155},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.4864323139190674},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.47483688592910767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33902662992477417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21072524785995483},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06718295812606812}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.8147121667861938},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.727683961391449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743772625923157},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.642254114151001},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6343028545379639},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6240456104278564},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6098493337631226},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5935786962509155},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.4864323139190674},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.47483688592910767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33902662992477417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21072524785995483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06718295812606812},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.14778/3397230.3397244","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3397230.3397244","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":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W177738351","https://openalex.org/W1953381612","https://openalex.org/W1984069252","https://openalex.org/W1991635064","https://openalex.org/W2035165116","https://openalex.org/W2061820396","https://openalex.org/W2080379754","https://openalex.org/W2101196063","https://openalex.org/W2108278206","https://openalex.org/W2108858998","https://openalex.org/W2114823287","https://openalex.org/W2118555456","https://openalex.org/W2132801025","https://openalex.org/W2139430401","https://openalex.org/W2141403143","https://openalex.org/W2252172643","https://openalex.org/W2396832258","https://openalex.org/W2480871246","https://openalex.org/W2612735401","https://openalex.org/W2755088640","https://openalex.org/W2786835571","https://openalex.org/W2798654119","https://openalex.org/W2951272192","https://openalex.org/W2963122331","https://openalex.org/W2964501918","https://openalex.org/W3102286757","https://openalex.org/W4291719230","https://openalex.org/W4301207233"],"related_works":["https://openalex.org/W2891776881","https://openalex.org/W2244559970","https://openalex.org/W189876032","https://openalex.org/W2557467218","https://openalex.org/W2536297025","https://openalex.org/W2771290394","https://openalex.org/W2918080139","https://openalex.org/W4225293784","https://openalex.org/W3204684126","https://openalex.org/W3130064765"],"abstract_inverted_index":{"Given":[0],"a":[1,6,13,26,70,122,138],"social":[2],"network":[3],"G":[4],",":[5,16],"cost":[7,50],"associated":[8],"with":[9,201,249,254],"each":[10,194],"node,":[11],"and":[12,81],"budget":[14],"B":[15],"the":[17,33,38,45,48,52,95,133,163,182,186,190,198,202,209,216,223,227,230,268,271,287,299,302,305],"budgeted":[18,191],"influence":[19,143,262],"maximization":[20,263],"(BIM)":[21],"problem":[22,68,237],"aims":[23],"to":[24,98,145,154,177,297,301],"find":[25],"set":[27],"S":[28,55],"of":[29,41,51,232,260,270,304],"nodes,":[30],"denoted":[31],"as":[32,213,215],"seed":[34,199,272,306],"set,":[35],"that":[36,47,91,311],"maximizes":[37],"expected":[39],"number":[40,231],"influenced":[42],"users":[43,53],"under":[44,189,235],"constraint":[46],"total":[49],"in":[54],"is":[56,82,152,168,174,219,315],"no":[57],"larger":[58],"than":[59,319],"B.":[60],"The":[61,257],"current":[62],"state-of-the-art":[63],"practical":[64],"solution":[65,314],"for":[66,141,158,181,286],"BIM":[67,148,236,288],"provides":[69],"(1-1/":[71],"e":[72,102,110,119],"/2":[73],"---":[74,78,100,104,108,114,117,128],"\u03b5)-approximate":[75],"(\u2248":[76,126],"0.316":[77],"\u03b5)":[79],"result":[80],"still":[83],"inefficient":[84],"on":[85,267],"large":[86,159,241,250],"networks.":[87],"We":[88],"first":[89,280],"show":[90,310],"we":[92,131,279,291],"can":[93,211],"improve":[94],"approximation":[96,124,217],"guarantee":[97,125],"1":[99,107],"1/":[101,109,118],"\u03b2":[103,111],"\u03b5":[105],"where":[106,193],"=":[112],"(1":[113,116],"\u03b2)":[115],"),":[120],"achieving":[121],"better":[123],"0.355":[127],"\u03b5).":[129],"Next,":[130,290],"apply":[132],"reverse":[134,164],"sampling":[135,165],"based":[136,166],"technique,":[137],"popular":[139],"technique":[140,167],"classic":[142],"maximization,":[144],"our":[146,312],"studied":[147],"problem.":[149,289],"However,":[150],"it":[151,173,196,243],"non-trivial":[153],"design":[155],"efficient":[156,318],"solutions":[157],"scale":[160],"networks":[161],"even":[162],"applied.":[169],"On":[170,226],"one":[171],"hand,":[172,229],"unclear":[175],"how":[176],"derive":[178],"tight":[179],"bounds":[180],"nodes":[183,233,248],"selected":[184,234],"by":[185],"greedy":[187],"algorithm":[188,210],"scenario,":[192],"time":[195,258],"selects":[197],"node":[200,294],"highest":[203],"benefit-cost":[204,251],"ratio.":[205],"With":[206],"tighter":[207],"bounds,":[208],"terminate":[212],"soon":[214],"ratio":[218,252],"satisfied,":[220],"thus":[221],"saving":[222],"running":[224],"cost.":[225],"other":[228],"may":[238,244],"be":[239],"quite":[240],"since":[242],"greedily":[245],"select":[246],"many":[247],"but":[253],"low":[255],"costs.":[256],"complexity":[259],"existing":[261],"algorithms":[264],"heavily":[265],"depends":[266],"size":[269,303],"set.":[273,307],"To":[274],"tackle":[275],"such":[276],"challenging":[277],"issues,":[278],"present":[281,292],"new":[282,293],"bound":[283],"estimation":[284],"techniques":[285],"selection":[295],"strategies":[296],"alleviate":[298],"dependency":[300],"Extensive":[308],"experiments":[309],"proposed":[313],"far":[316],"more":[317],"alternatives.":[320]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}