{"id":"https://openalex.org/W2747190710","doi":"https://doi.org/10.1145/3086636","title":"RCMC","display_name":"RCMC","publication_year":2017,"publication_date":"2017-08-12","ids":{"openalex":"https://openalex.org/W2747190710","doi":"https://doi.org/10.1145/3086636","mag":"2747190710"},"language":"en","primary_location":{"id":"doi:10.1145/3086636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3086636","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3495955","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023510057","display_name":"Haytham Assem","orcid":"https://orcid.org/0000-0002-9475-0579"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Haytham Assem","raw_affiliation_strings":["IBM Ireland and ADAPT Center, Trinity College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Ireland and ADAPT Center, Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073344294","display_name":"Teodora Sandra Buda","orcid":"https://orcid.org/0000-0003-1806-2915"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teodora Sandra Buda","raw_affiliation_strings":["IBM Ireland, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Ireland, Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020871962","display_name":"Declan O\u2019Sullivan","orcid":"https://orcid.org/0000-0003-1090-3548"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Declan O\u2019sullivan","raw_affiliation_strings":["ADAPT Center, Trinity College Dublin, Dublin 2, Ireland"],"affiliations":[{"raw_affiliation_string":"ADAPT Center, Trinity College Dublin, Dublin 2, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023510057"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":1.9631,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88172639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"5","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9939000010490417,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.841532826423645},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4980778694152832},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49590644240379333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4744350016117096},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45602697134017944},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4302006661891937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3887551426887512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3760548233985901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841532826423645},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4980778694152832},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49590644240379333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4744350016117096},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45602697134017944},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4302006661891937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3887551426887512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3760548233985901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3086636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3086636","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3495955","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3495955","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.550000011920929,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W33249699","https://openalex.org/W1534233039","https://openalex.org/W1555144522","https://openalex.org/W1607035479","https://openalex.org/W1880262756","https://openalex.org/W1968060540","https://openalex.org/W1971993044","https://openalex.org/W1972436494","https://openalex.org/W1974578407","https://openalex.org/W1977153226","https://openalex.org/W1985101747","https://openalex.org/W1990444226","https://openalex.org/W2007322170","https://openalex.org/W2015583498","https://openalex.org/W2024177114","https://openalex.org/W2034258124","https://openalex.org/W2044985623","https://openalex.org/W2047888606","https://openalex.org/W2051096380","https://openalex.org/W2056622863","https://openalex.org/W2075433852","https://openalex.org/W2097225206","https://openalex.org/W2101746535","https://openalex.org/W2103018059","https://openalex.org/W2112738128","https://openalex.org/W2116597564","https://openalex.org/W2125332449","https://openalex.org/W2129891468","https://openalex.org/W2133691178","https://openalex.org/W2138972650","https://openalex.org/W2150849476","https://openalex.org/W2153207204","https://openalex.org/W2164061616","https://openalex.org/W2166008665","https://openalex.org/W2171634212","https://openalex.org/W2174706414","https://openalex.org/W2294749418","https://openalex.org/W2334889010","https://openalex.org/W2521311836","https://openalex.org/W2528040708","https://openalex.org/W2528639018","https://openalex.org/W2542454698","https://openalex.org/W2544602495","https://openalex.org/W2547318247","https://openalex.org/W2612387212","https://openalex.org/W2797602122","https://openalex.org/W2952372538","https://openalex.org/W2953145849","https://openalex.org/W4237009601","https://openalex.org/W4244928213","https://openalex.org/W6703074907"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2121496884","https://openalex.org/W2387910809","https://openalex.org/W3129173165"],"abstract_inverted_index":{"During":[0],"the":[1,5,18,67,115,138,171,188,202,228,239,244,259,262,288],"past":[2],"few":[3],"years,":[4],"analysis":[6,200],"of":[7,20,166,190,201,255,284,306],"data":[8,83],"generated":[9],"from":[10,125,178],"Location-Based":[11],"Social":[12],"Networks":[13],"(LBSNs)":[14],"have":[15,299],"aided":[16],"in":[17,26,43,71,119,192,227,276],"identification":[19],"urban":[21,27,56,229],"patterns,":[22],"understanding":[23,254],"activity":[24],"behaviours":[25],"areas,":[28],"as":[29,31,151,309],"well":[30],"producing":[32],"novel":[33,101],"recommender":[34,311],"systems":[35],"that":[36,211,221,237,268],"facilitate":[37],"users\u2019":[38],"choices.":[39],"Recognizing":[40,66],"crowd-mobility":[41,86,117,247],"patterns":[42,87,118,205,220,248],"cities":[44,120],"is":[45],"very":[46],"important":[47],"for":[48,65,113,145,180,187],"public":[49],"safety,":[50],"traffic":[51],"managment,":[52],"disaster":[53,316],"management,":[54],"and":[55,93,108,185,225,258,281,292,320],"planning.":[57],"In":[58],"this":[59],"article,":[60],"we":[61,98,148,235],"propose":[62],"a":[63,100,141,174,198,252,300,304],"framework":[64,78,139,172,271],"Crowd":[68],"Mobility":[69],"Patterns":[70],"Cities":[72],"using":[73,173],"LBSN":[74],"data.":[75],"Our":[76],"proposed":[77,213,270],"comprises":[79],"four":[80],"main":[81],"components:":[82],"gathering,":[84],"recurrent":[85,116,246],"extraction,":[88],"temporal":[89,152,162,240,293],"functional":[90,153,157,241,294],"regions":[91,154,242,295],"detection,":[92,315],"visualization":[94,209],"component.":[95],"More":[96],"specifically,":[97],"employ":[99],"approach":[102,214],"based":[103,286],"on":[104,287,303],"Non-negative":[105],"Matrix":[106],"Factorization":[107],"Gaussian":[109],"Kernel":[110],"Density":[111],"Estimation":[112],"extracting":[114],"illustrating":[121],"how":[122],"crowd":[123,204,263,290],"shifts":[124],"one":[126],"area":[127,189],"to":[128,150,251],"another":[129],"during":[130],"each":[131],"day":[132],"across":[133],"various":[134],"time":[135,224,233],"slots.":[136],"Moreover,":[137],"employs":[140],"hierarchical":[142],"clustering-based":[143],"algorithm":[144],"identifying":[146],"what":[147],"refer":[149],"by":[155,164],"modeling":[156],"areas":[158],"taking":[159],"into":[160],"account":[161],"variation":[163],"means":[165],"check-ins\u2019":[167],"categories.":[168],"We":[169,196,265],"build":[170],"spatial-temporal":[175],"dataset":[176],"crawled":[177],"Twitter":[179],"two":[181],"entire":[182],"years":[183],"(2013":[184],"2014)":[186],"Manhattan":[191],"New":[193],"York":[194],"City.":[195],"perform":[197],"detailed":[199],"extracted":[203],"with":[206,243],"an":[207],"exploratory":[208],"showing":[210],"our":[212,269],"can":[215,249,274,298],"identify":[216],"clearly":[217],"obvious":[218],"mobility":[219,291],"recur":[222],"over":[223],"location":[226],"scenario.":[230],"Using":[231],"same":[232],"interval,":[234],"show":[236],"correlating":[238],"recognized":[245],"yield":[250],"deeper":[253],"city":[256,279],"dynamics":[257],"motivation":[260],"behind":[261],"mobility.":[264],"are":[266],"confident":[267],"not":[272],"only":[273],"help":[275],"managing":[277],"complex":[278],"environments":[280],"better":[282],"allocation":[283],"resources":[285],"expected":[289],"but":[296],"also":[297],"direct":[301],"implication":[302],"variety":[305],"applications":[307],"such":[308],"personalized":[310],"systems,":[312,319],"anomalous":[313],"event":[314],"resilience":[317],"management":[318],"others.":[321]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-08-31T00:00:00"}