{"id":"https://openalex.org/W2114373571","doi":"https://doi.org/10.1145/2063576.2063971","title":"Top-k most influential locations selection","display_name":"Top-k most influential locations selection","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2114373571","doi":"https://doi.org/10.1145/2063576.2063971","mag":"2114373571"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063971","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-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/A5069858475","display_name":"Jin Huang","orcid":"https://orcid.org/0000-0003-2285-5248"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Huang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013127195","display_name":"Zeyi Wen","orcid":"https://orcid.org/0000-0003-3370-6053"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zeyi Wen","raw_affiliation_strings":["University of Melbourne, Melbourne, Australia","University of Melbourne, Melbourne, Australia,"],"affiliations":[{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia,","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022290876","display_name":"Jianzhong Qi","orcid":"https://orcid.org/0000-0001-6501-9050"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianzhong Qi","raw_affiliation_strings":["University of Melbourne, Melbourne, Australia","University of Melbourne, Melbourne, Australia,"],"affiliations":[{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia,","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422092","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8132-6250"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["University of Melbourne, Melbourne, Australia","University of Melbourne, Melbourne, Australia,"],"affiliations":[{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia,","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756751","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0003-0799-2455"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427763","display_name":"Zhen He","orcid":"https://orcid.org/0000-0003-0302-5775"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhen He","raw_affiliation_strings":["La Trobe University, Bundoora, Australia"],"affiliations":[{"raw_affiliation_string":"La Trobe University, Bundoora, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069858475"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.2872,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.95056225,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2377","last_page":"2380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/pruning","display_name":"Pruning","score":0.8052387237548828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235418558120728},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6473731398582458},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6170568466186523},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6053692102432251},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6024730205535889},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.572356104850769},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5113698840141296},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5079079270362854},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4612630009651184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4045042395591736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24969711899757385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11044219136238098},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08457252383232117}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8052387237548828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235418558120728},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6473731398582458},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6170568466186523},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6053692102432251},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6024730205535889},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.572356104850769},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5113698840141296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5079079270362854},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4612630009651184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4045042395591736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24969711899757385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11044219136238098},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08457252383232117},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2063576.2063971","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-161247","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-161247","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1503832576","https://openalex.org/W1546365363","https://openalex.org/W1767929998","https://openalex.org/W1851312640","https://openalex.org/W1991482408","https://openalex.org/W2051663596","https://openalex.org/W2062734663","https://openalex.org/W2062967627","https://openalex.org/W2076287166","https://openalex.org/W2091829363","https://openalex.org/W2118269922","https://openalex.org/W2120767835","https://openalex.org/W2129658824","https://openalex.org/W2137077706","https://openalex.org/W2137507206","https://openalex.org/W2145344816","https://openalex.org/W2147817641","https://openalex.org/W2149741878","https://openalex.org/W2153404040","https://openalex.org/W2160152607","https://openalex.org/W2162202557","https://openalex.org/W2168649524","https://openalex.org/W4365806522","https://openalex.org/W6638957863","https://openalex.org/W6683998681"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"We":[0,77,107],"propose":[1,108],"and":[2,25,93,111,120,138,165,175,228,247],"study":[3],"a":[4,20,26,38,53,80,230],"new":[5],"type":[6],"of":[7,23,29,41,52,65,75,146,168,206,253],"facility":[8],"location":[9,16,55],"selection":[10,17],"query,":[11],"the":[12,45,50,63,71,85,88,114,121,135,147,151,155,158,163,166,172,179,182,198,204,210,216,221,225,251,254],"top-k":[13],"most":[14],"influential":[15],"query.":[18,86],"Given":[19],"set":[21,27,39,184],"M":[22,68],"customers":[24,66,164,170,208,227],"F":[28],"existing":[30,160,217],"facilities,":[31],"this":[32],"query":[33],"finds":[34],"k":[35],"locations":[36,43],"from":[37],"C":[40],"candidate":[42,54,173,211],"with":[44],"largest":[46],"influence":[47,51],"values,":[48],"where":[49],"c":[56],"(c":[57],"in":[58,67,235],"C)":[59],"is":[60,90,185],"defined":[61],"as":[62],"number":[64],"who":[69],"are":[70,194],"reverse":[72],"nearest":[73,159],"neighbors":[74],"c.":[76],"first":[78],"present":[79],"naive":[81,148],"algorithm":[82,89,119,153],"to":[83,96,102,133,157,196,219],"process":[84],"However,":[87],"computationally":[91],"expensive":[92],"not":[94],"scalable":[95],"large":[97],"datasets.":[98],"This":[99],"motivates":[100],"us":[101],"explore":[103],"more":[104,238],"efficient":[105,239],"solutions.":[106],"two":[109],"branch":[110],"bound":[112],"algorithms,":[113],"Estimation":[115],"Expanding":[116],"Pruning":[117,124],"(EEP)":[118],"Bounding":[122],"Influence":[123],"(BIP)":[125],"algorithm.":[126,149,240],"These":[127],"algorithms":[128],"exploit":[129],"various":[130],"geometric":[131],"properties":[132],"prune":[134],"search":[136],"space,":[137],"thus":[139],"achieve":[140,229],"much":[141],"better":[142,231],"performance":[143],"than":[144],"that":[145],"Specifically,":[150],"EEP":[152],"estimates":[154,203],"distances":[156],"facilities":[161,218],"for":[162,171,209,223],"numbers":[167,205],"influenced":[169,207,226],"locations,":[174],"then":[176],"gradually":[177],"refines":[178],"estimation":[180],"until":[181],"answer":[183],"found,":[186],"during":[187],"which":[188,233],"distance":[189],"metric":[190],"based":[191],"pruning":[192],"techniques":[193],"used":[195],"improve":[197],"refinement":[199],"efficiency.":[200],"BIP":[201],"only":[202],"locations.":[212],"But":[213],"it":[214],"uses":[215],"limit":[220],"space":[222],"searching":[224],"estimation,":[232],"results":[234],"an":[236],"even":[237],"Extensive":[241],"experiments":[242],"conducted":[243],"on":[244],"both":[245],"real":[246],"synthetic":[248],"datasets":[249],"validate":[250],"efficiency":[252],"algorithms.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}