{"id":"https://openalex.org/W2200482854","doi":"https://doi.org/10.14778/2732240.2732242","title":"GeoScope","display_name":"GeoScope","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2200482854","doi":"https://doi.org/10.14778/2732240.2732242","mag":"2200482854"},"language":"en","primary_location":{"id":"doi:10.14778/2732240.2732242","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732240.2732242","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/A5086827245","display_name":"Ceren Budak","orcid":"https://orcid.org/0000-0002-7767-3217"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ceren Budak","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003319171","display_name":"Theodore Georgiou","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodore Georgiou","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059945353","display_name":"Divyakant Agrawal","orcid":"https://orcid.org/0000-0002-0215-9539"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divyakant Agrawal","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039292004","display_name":"Amr El Abbadi","orcid":"https://orcid.org/0000-0003-4692-3268"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amr El Abbadi","raw_affiliation_strings":["University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086827245"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":9.9382,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.98687351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"229","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9894000291824341,"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":0.9894000291824341,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9843000173568726,"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/T10799","display_name":"Data Visualization and Analytics","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.6394790410995483},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5411975979804993},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5082637667655945},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4737958312034607},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4708758592605591},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4597705602645874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.396526575088501},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35489562153816223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34044045209884644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20901602506637573},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1567355990409851},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12121501564979553},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10072040557861328},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09819063544273376},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08138862252235413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394790410995483},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5411975979804993},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5082637667655945},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4737958312034607},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4708758592605591},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4597705602645874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.396526575088501},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35489562153816223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34044045209884644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20901602506637573},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1567355990409851},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12121501564979553},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10072040557861328},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09819063544273376},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08138862252235413},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2732240.2732242","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732240.2732242","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":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1485672862","https://openalex.org/W1493892051","https://openalex.org/W1502814178","https://openalex.org/W1586355958","https://openalex.org/W1594112393","https://openalex.org/W1675727887","https://openalex.org/W1826290430","https://openalex.org/W1837913551","https://openalex.org/W1893161742","https://openalex.org/W1970779762","https://openalex.org/W1972525637","https://openalex.org/W1973749534","https://openalex.org/W1975879668","https://openalex.org/W2007159951","https://openalex.org/W2017062116","https://openalex.org/W2018165284","https://openalex.org/W2018277822","https://openalex.org/W2020360881","https://openalex.org/W2069980026","https://openalex.org/W2073021764","https://openalex.org/W2086481317","https://openalex.org/W2095426726","https://openalex.org/W2098730244","https://openalex.org/W2099523647","https://openalex.org/W2101196063","https://openalex.org/W2114313114","https://openalex.org/W2118110552","https://openalex.org/W2124499489","https://openalex.org/W2127492100","https://openalex.org/W2128100639","https://openalex.org/W2130773802","https://openalex.org/W2142889507","https://openalex.org/W2145446394","https://openalex.org/W2148540243","https://openalex.org/W2149510050","https://openalex.org/W2150010379","https://openalex.org/W2165442870","https://openalex.org/W2167973519","https://openalex.org/W2168346693","https://openalex.org/W2183745830","https://openalex.org/W2608787561","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"The":[0,104],"First":[1],"Law":[2],"of":[3,33,102,121,125],"Geography":[4],"states":[5],"\"Everything":[6],"is":[7,50],"related":[8,17],"to":[9,46,68,98,112],"everything":[10],"else,":[11],"but":[12],"near":[13],"things":[14],"are":[15],"more":[16],"than":[18],"distant":[19],"things\".":[20],"This":[21],"spatial":[22],"significance":[23,124],"has":[24,161],"implications":[25],"in":[26,62,66,119],"various":[27,94,143],"applications,":[28],"trend":[29],"detection":[30],"being":[31],"one":[32],"them.":[34],"In":[35],"this":[36],"paper":[37],"we":[38],"propose":[39],"a":[40,51,63],"new":[41],"algorithmic":[42],"tool,":[43],"GeoScope":[44,49,74,111,134,160],",":[45],"detect":[47],"geo-trends.":[48],"data":[52],"streams":[53],"solution":[54,117],"that":[55,107,159],"detects":[56,142],"correlations":[57],"between":[58],"topics":[59,70,138],"and":[60,71,89,141,164],"locations":[61,72],"sliding":[64],"window,":[65],"addition":[67],"analyzing":[69],"independently.":[73],"offers":[75],"theoretical":[76],"guarantees":[77],"for":[78],"detecting":[79],"all":[80],"trending":[81],"correlated":[82],"pairs":[83],"while":[84],"requiring":[85],"only":[86],"sub-linear":[87],"space":[88],"running":[90],"time.":[91],"We":[92],"perform":[93],"human":[95,108],"validation":[96],"tasks":[97],"demonstrate":[99],"the":[100,113,122,126,130],"value":[101],"GeoScope.":[103],"results":[105],"show":[106,158],"judges":[109],"prefer":[110],"best":[114],"performing":[115],"baseline":[116],"4:1":[118],"terms":[120],"geographical":[123],"presented":[127],"information.":[128],"As":[129],"Twitter":[131,157],"analysis":[132],"demonstrates,":[133],"successfully":[135],"filters":[136],"out":[137],"without":[139],"geo-intent":[140],"local":[144],"interests":[145],"such":[146],"as":[147],"emergency":[148],"events,":[149],"political":[150],"demonstrations":[151],"or":[152],"cultural":[153],"events.":[154],"Experiments":[155],"on":[156],"perfect":[162],"recall":[163],"near-perfect":[165],"precision.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}