乐胖代购免代理版

{"id":"https://openalex.org/W3033787667","doi":"https://doi.org/10.1007/s42001-020-00073-w","title":"Estimation of socioeconomic attributes from location information","display_name":"Estimation of socioeconomic attributes from location information","publication_year":2020,"publication_date":"2020-06-04","ids":{"openalex":"https://openalex.org/W3033787667","doi":"https://doi.org/10.1007/s42001-020-00073-w","mag":"3033787667","pmid":"https://pubmed.ncbi.nlm.nih.gov/32838050","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7271143"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00073-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00073-w.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00073-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083028273","display_name":"Shohei Doi","orcid":"https://orcid.org/0000-0003-1647-8511"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shohei Doi","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102770405","display_name":"Takayuki Mizuno","orcid":"https://orcid.org/0000-0003-1332-076X"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Mizuno","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039493399","display_name":"Naoya Fujiwara","orcid":"https://orcid.org/0000-0002-7753-4698"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Fujiwara","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083028273"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890,"provenance":"doaj"},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890,"provenance":"doaj"},"fwci":0.155,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.658353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":73},"biblio":{"volume":"4","issue":"1","first_page":"187","last_page":"205"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998,"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":0.9998,"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":0.9963,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9685,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso","score":0.46394822}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6858329},{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.6483122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5548502},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.55256283},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.54901046},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.54422426},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.46394822},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4506552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39653432},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37295204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3567878},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3396749},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33313575},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32221597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21279827},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12936223},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08693725},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.084848255},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00073-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00073-w.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271143","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-21386/v1","pdf_url":"https://www.researchsquare.com/article/rs-21386/latest.pdf","source":{"id":"https://openalex.org/S4306402450","display_name":"Research Square (Research Square)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210096694","host_organization_name":"Research Square (United States)","host_organization_lineage":["https://openalex.org/I4210096694"],"host_organization_lineage_names":["Research Square (United States)"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32838050","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00073-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00073-w.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.65,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"grants":[{"funder":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science","award_id":"19K22852"},{"funder":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science","award_id":"18H03627"}],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1991288592","https://openalex.org/W2017194498","https://openalex.org/W2039790279","https://openalex.org/W2101234009","https://openalex.org/W2113867961","https://openalex.org/W2142240784","https://openalex.org/W2148143831","https://openalex.org/W2153803020","https://openalex.org/W2173315138","https://openalex.org/W2521200999","https://openalex.org/W2547314356","https://openalex.org/W2581070012","https://openalex.org/W2755308476","https://openalex.org/W2889079547","https://openalex.org/W2952552312","https://openalex.org/W2960924854","https://openalex.org/W2963296228","https://openalex.org/W3006834170","https://openalex.org/W3007083252","https://openalex.org/W3010131837","https://openalex.org/W3013594674","https://openalex.org/W3036030877","https://openalex.org/W3098124506","https://openalex.org/W3101003445","https://openalex.org/W4252407162","https://openalex.org/W4298530302"],"related_works":["https://openalex.org/W4379620016","https://openalex.org/W4367336074","https://openalex.org/W4367335949","https://openalex.org/W4224941037","https://openalex.org/W4200112873","https://openalex.org/W3210764983","https://openalex.org/W3154045278","https://openalex.org/W3089416646","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Timely":[0],"estimation":[1],"of":[2,5,46,72,77,132],"the":[3,43,116,120,130,149,152],"distribution":[4],"socioeconomic":[6,44],"attributes":[7,27,36,74],"and":[8,19,31,63,75],"their":[9],"movement":[10],"is":[11,93],"crucial":[12,91],"for":[13,148],"academic":[14],"as":[15,17,94,99,104,108,145,147],"well":[16,146],"administrative":[18],"marketing":[20],"purposes.":[21],"In":[22],"this":[23],"study,":[24],"assuming":[25],"personal":[26,73],"affect":[28],"human":[29],"behavior":[30],"movement,":[32],"we":[33,41,70,114,156],"predict":[34,42],"these":[35],"from":[37,97,100,160],"location":[38],"information.":[39],"First,":[40],"characteristics":[45],"individuals":[47],"by":[48,110],"supervised":[49],"learning":[50],"methods,":[51],"i.e.,":[52],"logistic":[53],"Lasso":[54],"regression,":[55],"Gaussian":[56],"Naive":[57],"Bayes,":[58],"random":[59],"forest,":[60],"XGBoost,":[61],"LightGBM,":[62],"support":[64],"vector":[65],"machine,":[66],"using":[67],"survey":[68,121,150],"data":[69,122,127],"collected":[71],"frequency":[76],"visits":[78],"to":[79,82,123,128],"specific":[80],"facilities,":[81],"test":[83],"our":[84,133,140],"conjecture.":[85],"We":[86],"find":[87],"that":[88,155],"gender,":[89],"a":[90,136,161],"attribute,":[92],"highly":[95],"predictable":[96],"locations":[98],"other":[101],"sources":[102],"such":[103],"social":[105],"networking":[106],"services,":[107],"done":[109],"existing":[111],"studies.":[112],"Second,":[113],"apply":[115],"model":[117],"trained":[118],"with":[119],"actual":[124],"GPS":[125,162],"log":[126],"check":[129],"performance":[131],"approach":[134,141],"in":[135],"real-world":[137],"setting.":[138],"Though":[139],"does":[142],"not":[143],"perform":[144],"data,":[151],"results":[153],"suggest":[154],"can":[157],"infer":[158],"gender":[159],"log.":[163]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3033787667","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-26T23:52:52.001742","created_date":"2020-06-12"}