{"id":"https://openalex.org/W2089953722","doi":"https://doi.org/10.1109/icde.2014.6816726","title":"Region sampling and estimation of geosocial data with dynamic range calibration","display_name":"Region sampling and estimation of geosocial data with dynamic range calibration","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2089953722","doi":"https://doi.org/10.1109/icde.2014.6816726","mag":"2089953722"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2014.6816726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100630059","display_name":"Yanhua Li","orcid":"https://orcid.org/0000-0001-8972-503X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Li","raw_affiliation_strings":["HUAWEI Noah's Ark Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUAWEI Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072511742","display_name":"Moritz Steiner","orcid":null},"institutions":[{"id":"https://openalex.org/I10734018","display_name":"Akamai (United States)","ror":"https://ror.org/03tarb191","country_code":"US","type":"company","lineage":["https://openalex.org/I10734018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moritz Steiner","raw_affiliation_strings":["Akamai Inc., CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akamai Inc., CA, USA","institution_ids":["https://openalex.org/I10734018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103086007","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0003-2736-6179"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["University of Minnesota, Twin, MN, USA","University of Minnesota-Twin Cities, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota-Twin Cities, USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436499","display_name":"Limin Wang","orcid":"https://orcid.org/0000-0002-0666-6570"},"institutions":[{"id":"https://openalex.org/I4210162091","display_name":"Bellbrook Labs (United States)","ror":"https://ror.org/05eewjw07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210162091"]},{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Limin Wang","raw_affiliation_strings":["Bell Labs, NJ, USA","Bell laboratories, NJ, Usa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Labs, NJ, USA","institution_ids":["https://openalex.org/I4210162091"]},{"raw_affiliation_string":"Bell laboratories, NJ, Usa","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101496983","display_name":"Ting Zhu","orcid":"https://orcid.org/0000-0003-3307-050X"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Zhu","raw_affiliation_strings":["Binghamton University, NY, USA","[Binghamton University, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"[Binghamton University, NY, USA]","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7832,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96733871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1096","last_page":"1107"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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/T11106","display_name":"Data Management and Algorithms","score":0.9958999752998352,"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":0.8274272680282593},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.621399998664856},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5290809273719788},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5025317668914795},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4602789580821991},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4333324432373047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3997068405151367},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15035831928253174},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14112144708633423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10971134901046753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274272680282593},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.621399998664856},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5290809273719788},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5025317668914795},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4602789580821991},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4333324432373047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3997068405151367},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15035831928253174},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14112144708633423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10971134901046753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2014.6816726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.1969","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.1969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.umbc.edu/%7Ezt/Paper/ICDE14Foursquare.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W7143572","https://openalex.org/W62833799","https://openalex.org/W1524314678","https://openalex.org/W1599541430","https://openalex.org/W1976062966","https://openalex.org/W1986050033","https://openalex.org/W1995713768","https://openalex.org/W2001344462","https://openalex.org/W2004671457","https://openalex.org/W2007168590","https://openalex.org/W2038131881","https://openalex.org/W2040215619","https://openalex.org/W2042359627","https://openalex.org/W2059922815","https://openalex.org/W2073021764","https://openalex.org/W2074626209","https://openalex.org/W2081082600","https://openalex.org/W2103212156","https://openalex.org/W2103799649","https://openalex.org/W2110953678","https://openalex.org/W2112964921","https://openalex.org/W2117446354","https://openalex.org/W2118269922","https://openalex.org/W2128941908","https://openalex.org/W2131620262","https://openalex.org/W2135543149","https://openalex.org/W2137135938","https://openalex.org/W2139809240","https://openalex.org/W2141596757","https://openalex.org/W2152046791","https://openalex.org/W2161694911","https://openalex.org/W2167686542","https://openalex.org/W4252512566","https://openalex.org/W4302617909","https://openalex.org/W6600283903","https://openalex.org/W6631382920","https://openalex.org/W6635857930","https://openalex.org/W6679274366","https://openalex.org/W7052647445"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W2542847180","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W4229499248","https://openalex.org/W4378874356"],"abstract_inverted_index":{"Location":[0],"based":[1],"social":[2],"networks":[3,16],"(LBSNs)":[4],"are":[5,186],"becoming":[6],"increasingly":[7],"popular":[8],"with":[9],"the":[10,18,35,100,117,160],"fast":[11],"deployment":[12],"of":[13,21,37,63,124,147,153,156,162],"broadband":[14],"mobile":[15,23],"and":[17,33,44,52,60,84,149,181,191,201],"growing":[19],"prevalence":[20],"versatile":[22],"devices.":[24],"This":[25],"success":[26],"has":[27],"attracted":[28],"great":[29],"interest":[30],"in":[31,89,129,193],"studying":[32],"measuring":[34],"characteristics":[36,155],"LBSNs,":[38,90],"such":[39,91,175,196],"as":[40,77,92,176,197,210],"Facebook":[41,198],"Places,":[42,199],"Yelp,":[43,200],"Google+":[45,202],"Local.":[46],"However,":[47],"it":[48],"is":[49],"often":[50],"prohibitive,":[51],"sometimes":[53],"too":[54],"costly,":[55],"to":[56,67,115,143,188,222],"obtain":[57,116],"a":[58,64,93,96,121,130],"detailed":[59],"complete":[61,122,169],"snapshot":[62],"LBSN":[65],"due":[66],"its":[68],"usually":[69],"massive":[70],"scale.":[71],"In":[72],"this":[73],"work,":[74],"taking":[75],"Foursquare":[76,107,167],"an":[78],"example,":[79],"we":[80,111,134],"focus":[81],"on":[82,166],"sampling":[83,138,164,190],"estimating":[85],"restricted":[86],"geographic":[87,109],"regions":[88],"city":[94],"or":[95],"country.":[97],"By":[98],"exploiting":[99],"application":[101],"programming":[102],"interfaces":[103],"(APIs)":[104],"provided":[105],"by":[106],"for":[108],"search,":[110],"first":[112],"introduce":[113],"how":[114],"\u201cground":[118],"truth\u201d,":[119],"namely,":[120],"set":[123],"all":[125,194],"venues":[126],"(i.e.,":[127],"places)":[128],"specified":[131],"region.":[132],"Then,":[133],"propose":[135],"random":[136],"region":[137],"algorithms":[139,165],"that":[140],"allow":[141],"us":[142],"draw":[144],"representative":[145],"samples":[146],"venues,":[148],"design":[150],"unbiased":[151],"estimators":[152],"regional":[154],"venues.":[157],"We":[158],"validate":[159],"efficiency":[161],"our":[163,220],"using":[168],"datasets":[170],"obtained":[171],"from":[172,219],"12":[173],"regions,":[174],"Switzerland,":[177],"New":[178],"York":[179],"City":[180],"Los":[182],"Angeles.":[183],"Our":[184],"results":[185,221],"applicable":[187],"perform":[189],"estimation":[192],"GeoDatabases,":[195],"Local,":[203],"which":[204],"have":[205],"similar":[206],"venue":[207],"search":[208],"APIs":[209],"Foursquare.":[211],"These":[212],"location":[213],"service":[214],"providers":[215],"can":[216],"also":[217],"benefit":[218],"enable":[223],"efficient":[224],"online":[225],"statistic":[226],"estimation.":[227]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}