{"id":"https://openalex.org/W2558384379","doi":"https://doi.org/10.1109/tkde.2016.2633472","title":"Efficient Distance-Aware Influence Maximization in Geo-Social Networks","display_name":"Efficient Distance-Aware Influence Maximization in Geo-Social Networks","publication_year":2016,"publication_date":"2016-11-29","ids":{"openalex":"https://openalex.org/W2558384379","doi":"https://doi.org/10.1109/tkde.2016.2633472","mag":"2558384379"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2633472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2633472","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5087768777","display_name":"Xiaoyang Wang","orcid":"https://orcid.org/0000-0003-3554-3219"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["East China Normal University, Shanghai Shi, China","University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai Shi, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["East China Normal University, Shanghai Shi, China","University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai Shi, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087768777"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":7.0697,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.97550726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"29","issue":"3","first_page":"599","last_page":"612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9957000017166138,"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":0.9957000017166138,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.806503415107727},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7043885588645935},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6997721791267395},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.587531328201294},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5812399387359619},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5700838565826416},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5645660161972046},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5422942638397217},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.45434045791625977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4310164749622345},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3890323042869568},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.20527133345603943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19961485266685486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1393246352672577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12592202425003052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806503415107727},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7043885588645935},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6997721791267395},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.587531328201294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5812399387359619},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5700838565826416},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5645660161972046},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5422942638397217},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.45434045791625977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4310164749622345},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3890323042869568},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.20527133345603943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19961485266685486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1393246352672577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12592202425003052},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2016.2633472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2633472","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/81812","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/81812","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2155887085","display_name":null,"funder_award_id":"DP150102728","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G2376453298","display_name":null,"funder_award_id":"DE140100679","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G240611355","display_name":null,"funder_award_id":"61232006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5431579937","display_name":null,"funder_award_id":"DP140103578","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G6383113641","display_name":null,"funder_award_id":"DP170103710","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G8373397426","display_name":null,"funder_award_id":"DP150103071","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338275","display_name":"Division of Arctic Sciences","ror":"https://ror.org/02trddg58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W808508909","https://openalex.org/W1971518768","https://openalex.org/W1984069252","https://openalex.org/W1994024161","https://openalex.org/W2024626449","https://openalex.org/W2035165116","https://openalex.org/W2042123098","https://openalex.org/W2056609785","https://openalex.org/W2060072498","https://openalex.org/W2061820396","https://openalex.org/W2108278206","https://openalex.org/W2108858998","https://openalex.org/W2127054989","https://openalex.org/W2128916364","https://openalex.org/W2132801025","https://openalex.org/W2139430401","https://openalex.org/W2141403143","https://openalex.org/W2160411082","https://openalex.org/W2166470254","https://openalex.org/W2185001246","https://openalex.org/W2398784425","https://openalex.org/W2402355993","https://openalex.org/W2433886250","https://openalex.org/W2960690662","https://openalex.org/W6665303355","https://openalex.org/W6686670784"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W2130160813","https://openalex.org/W2054476758","https://openalex.org/W2350613701","https://openalex.org/W2000569830","https://openalex.org/W2998073084"],"abstract_inverted_index":{"Given":[0],"a":[1,5,16,29,138,162,212],"social":[2],"network":[3],"and":[4,68,113,125,187,236],"positive":[6],"integer":[7],"k,":[8],"the":[9,25,34,53,61,64,69,73,87,93,100,108,115,129,143,151,170,175,181,195,201,234],"influence":[10,26,55,75,145,152,183],"maximization":[11,56,76],"problem":[12],"aims":[13],"to":[14,106,149,167,210],"identify":[15],"set":[17],"of":[18,36,63,111,238],"k":[19,94],"nodes":[20,95],"in":[21,45,177],"that":[22],"can":[23],"maximize":[24],"spread":[27],"under":[28],"certain":[30],"propagation":[31],"model.":[32],"As":[33],"proliferation":[35],"geo-social":[37,243],"networks,":[38],"location-aware":[39],"promotion":[40],"is":[41,137,208],"becoming":[42],"more":[43],"necessary":[44],"real":[46,242],"applications.":[47],"In":[48,90,104,154],"this":[49,91],"paper,":[50],"we":[51,118,179,232],"study":[52],"distance-aware":[54],"(DAIM)":[57],"problem,":[58,77],"which":[59,141],"advocates":[60],"importance":[62],"distance":[65],"between":[66],"users":[67,80],"promoted":[70,88,101],"location.":[71,89],"Unlike":[72],"traditional":[74],"DAIM":[78,196],"treats":[79],"differently":[81],"based":[82],"on":[83],"their":[84],"distances":[85],"from":[86],"situation,":[92],"selected":[96],"are":[97,165],"different":[98,156],"when":[99],"location":[102],"varies.":[103],"order":[105],"handle":[107],"large":[109],"number":[110],"queries":[112],"meet":[114],"online":[116],"requirement,":[117],"develop":[119],"two":[120],"novel":[121],"index-based":[122],"approaches,":[123],"MIA-DA":[124,136],"RIS-DA,":[126,178],"by":[127],"utilizing":[128],"information":[130],"over":[131,241],"some":[132],"pre-sampled":[133],"query":[134],"locations.":[135],"heuristic":[139],"method":[140],"adopts":[142],"maximum":[144],"arborescence":[146],"(MIA)":[147],"model":[148,186],"approximate":[150,218],"calculation.":[153],"addition,":[155],"pruning":[157],"strategies":[158],"as":[159,161],"well":[160],"priority-based":[163],"algorithm":[164],"proposed":[166,239],"significantly":[168],"reduce":[169],"searching":[171],"space.":[172],"To":[173],"improve":[174],"effectiveness,":[176],"extend":[180],"reverse":[182],"sampling":[184],"(RIS)":[185],"come":[188],"up":[189],"with":[190,220],"an":[191],"unbiased":[192],"estimator":[193],"for":[194,205,227],"problem.":[197],"Through":[198],"carefully":[199],"analyzing":[200],"sample":[202],"size":[203],"needed":[204],"indexing,":[206],"RIS-DA":[207],"able":[209],"return":[211],"1":[213,223],"-":[214,216,224],"1=e":[215],"\u03b5":[217],"solution":[219],"at":[221],"least":[222],"\u03b4":[225],"probability":[226],"any":[228],"given":[229],"query.":[230],"Finally,":[231],"demonstrate":[233],"efficiency":[235],"effectiveness":[237],"methods":[240],"networks.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}