{"id":"https://openalex.org/W2533098469","doi":"https://doi.org/10.1145/2983323.2983744","title":"Graph Topic Scan Statistic for Spatial Event Detection","display_name":"Graph Topic Scan Statistic for Spatial Event Detection","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2533098469","doi":"https://doi.org/10.1145/2983323.2983744","mag":"2533098469"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on 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/A5100345711","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-1282-4897"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"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","HK"],"is_corresponding":true,"raw_author_name":"Yu Liu","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110743700","display_name":"Baojian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baojian Zhou","raw_affiliation_strings":["University at Albany-SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany-SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352703","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-4508-5963"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["University at Albany-SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany-SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030458470","display_name":"David W. Cheung","orcid":"https://orcid.org/0000-0002-8343-8440"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"David W. Cheung","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100345711"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":2.3197,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88510525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scan-statistic","display_name":"Scan statistic","score":0.8786301612854004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6976131200790405},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5856117606163025},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5559329986572266},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5367904901504517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46588650345802307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3718135356903076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27004724740982056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19515421986579895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17958185076713562}],"concepts":[{"id":"https://openalex.org/C2781302328","wikidata":"https://www.wikidata.org/wiki/Q16967898","display_name":"Scan statistic","level":2,"score":0.8786301612854004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976131200790405},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5856117606163025},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5559329986572266},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5367904901504517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46588650345802307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3718135356903076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27004724740982056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19515421986579895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17958185076713562},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2983323.2983744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/234882","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/234882","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W27793324","https://openalex.org/W87470928","https://openalex.org/W1519327417","https://openalex.org/W1521478692","https://openalex.org/W1540272031","https://openalex.org/W1826818071","https://openalex.org/W1975508655","https://openalex.org/W1983481354","https://openalex.org/W1985320839","https://openalex.org/W2002151188","https://openalex.org/W2007159951","https://openalex.org/W2017805816","https://openalex.org/W2029864877","https://openalex.org/W2038943544","https://openalex.org/W2093855404","https://openalex.org/W2105306979","https://openalex.org/W2107610218","https://openalex.org/W2124499489","https://openalex.org/W2127860643","https://openalex.org/W2146022760","https://openalex.org/W2149510050","https://openalex.org/W2152457266","https://openalex.org/W2161521785","https://openalex.org/W2166373144","https://openalex.org/W2248937416","https://openalex.org/W2519846699","https://openalex.org/W2529685980","https://openalex.org/W2595699107","https://openalex.org/W2607662938","https://openalex.org/W2613214602"],"related_works":["https://openalex.org/W2388380318","https://openalex.org/W4835932","https://openalex.org/W1985369819","https://openalex.org/W2066082667","https://openalex.org/W2163922535","https://openalex.org/W1986789204","https://openalex.org/W4231409346","https://openalex.org/W2625485376","https://openalex.org/W2165211604","https://openalex.org/W111101431"],"abstract_inverted_index":{"Spatial":[0],"event":[1,11,26,53,67,74,84,127,180],"detection":[2,12,27,54,124],"is":[3,28,131],"an":[4,148],"important":[5],"and":[6,185,208],"challenging":[7],"problem.":[8],"Unlike":[9],"traditional":[10],"that":[13,107,122,151,195],"focuses":[14],"on":[15,48,116,204],"the":[16,22,31,49,69,73,83,123,154,196],"timing":[17],"of":[18,24,36,51,125,162],"global":[19],"urgent":[20,40],"event,":[21],"task":[23],"spatial":[25,32,52,66,126,160],"to":[29,72,92,109,134],"detect":[30],"regions":[33,128,161],"(e.g.":[34],"clusters":[35],"neighboring":[37],"cities)":[38],"where":[39],"events":[41],"occur.":[42],"In":[43,90],"this":[44,94],"paper,":[45],"we":[46,96,169],"focus":[47],"problem":[50,143],"using":[55,173],"textual":[56],"information":[57],"in":[58,80],"social":[59],"media.":[60],"We":[61,119,145],"observe":[62],"that,":[63],"when":[64],"a":[65,98,110,135,166],"occurs,":[68],"topics":[70],"relevant":[71],"are":[75],"often":[76],"discussed":[77],"more":[78],"coherently":[79],"cities":[81],"near":[82],"location":[85],"than":[86],"those":[87],"far":[88],"away.":[89],"order":[91],"capture":[93],"pattern,":[95],"propose":[97],"new":[99],"method":[100],"called":[101],"Graph":[102],"Topic":[103],"Scan":[104],"Statistic":[105],"(Graph-TSS)":[106],"corresponds":[108],"generalized":[111],"log-likelihood":[112],"ratio":[113],"test":[114],"based":[115],"topic":[117,156],"modeling.":[118],"first":[120],"demonstrate":[121],"under":[129],"Graph-TSS":[130,198],"NP-hard":[132],"due":[133],"reduction":[136],"from":[137],"classical":[138],"node-weighted":[139],"prize-collecting":[140],"Steiner":[141],"tree":[142],"(NW-PCST).":[144],"then":[146],"design":[147],"efficient":[149],"algorithm":[150],"approximately":[152],"maximizes":[153],"graph":[155],"scan":[157],"statistic":[158],"over":[159,201],"arbitrary":[163],"form.":[164],"As":[165],"case":[167],"study,":[168],"consider":[170],"three":[171],"applications":[172],"Twitter":[174],"data,":[175],"including":[176],"Argentina":[177],"civil":[178],"unrest":[179],"detection,":[181,184],"Chile":[182],"earthquake":[183],"United":[186],"States":[187],"influenza":[188],"disease":[189],"outbreak":[190],"detection.":[191],"Empirical":[192],"evidence":[193],"demonstrates":[194],"proposed":[197],"performs":[199],"superior":[200],"state-of-the-art":[202],"methods":[203],"both":[205],"running":[206],"time":[207],"accuracy.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
