{"id":"https://openalex.org/W2944538730","doi":"https://doi.org/10.1145/3283590.3283594","title":"Measuring Inter-city Network Using Digital Footprints from Twitter Users","display_name":"Measuring Inter-city Network Using Digital Footprints from Twitter Users","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2944538730","doi":"https://doi.org/10.1145/3283590.3283594","mag":"2944538730"},"language":"en","primary_location":{"id":"doi:10.1145/3283590.3283594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3283590.3283594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility","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/A5003443378","display_name":"Yuqin Jiang","orcid":"https://orcid.org/0000-0003-0632-624X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuqin Jiang","raw_affiliation_strings":["Department of Geography, University of South, Carolina Columbia, SC"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of South, Carolina Columbia, SC","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073915674","display_name":"Zhenlong Li","orcid":"https://orcid.org/0000-0002-8938-5466"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenlong Li","raw_affiliation_strings":["Department of Geography, University of South, Carolina Columbia, SC"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of South, Carolina Columbia, SC","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088393129","display_name":"Xinyue Ye","orcid":"https://orcid.org/0000-0001-8838-9476"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyue Ye","raw_affiliation_strings":["Department of Informatics, New Jersey Institute of Technology, Newark, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, New Jersey Institute of Technology, Newark, NJ","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003443378"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.367,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76837782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"25","last_page":"31"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"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/T12483","display_name":"Global Urban Networks and Dynamics","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/metropolitan-area","display_name":"Metropolitan area","score":0.72267746925354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632583737373352},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6284200549125671},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5302301049232483},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5152738094329834},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47010985016822815},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3715946078300476},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33611607551574707},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.33314865827560425},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3275246024131775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1922711431980133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12199881672859192}],"concepts":[{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.72267746925354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632583737373352},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6284200549125671},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5302301049232483},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5152738094329834},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47010985016822815},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3715946078300476},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33611607551574707},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.33314865827560425},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3275246024131775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1922711431980133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12199881672859192},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3283590.3283594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3283590.3283594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W285374334","https://openalex.org/W1480495232","https://openalex.org/W1496931554","https://openalex.org/W1927636871","https://openalex.org/W1970301364","https://openalex.org/W1978220319","https://openalex.org/W2013346883","https://openalex.org/W2013598124","https://openalex.org/W2034636363","https://openalex.org/W2037971062","https://openalex.org/W2039103323","https://openalex.org/W2040434799","https://openalex.org/W2092735663","https://openalex.org/W2093014060","https://openalex.org/W2099968325","https://openalex.org/W2105659145","https://openalex.org/W2109236986","https://openalex.org/W2110086534","https://openalex.org/W2111478843","https://openalex.org/W2118287286","https://openalex.org/W2125910575","https://openalex.org/W2137610917","https://openalex.org/W2146756596","https://openalex.org/W2394680079","https://openalex.org/W2418259012","https://openalex.org/W2484848929","https://openalex.org/W2808491315","https://openalex.org/W2898350584","https://openalex.org/W2963240068","https://openalex.org/W6673929633","https://openalex.org/W6675744496","https://openalex.org/W6687464726","https://openalex.org/W6722282300"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4212929323","https://openalex.org/W2045046253","https://openalex.org/W2000995042","https://openalex.org/W2494740635","https://openalex.org/W2120116197","https://openalex.org/W159653547","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460"],"abstract_inverted_index":{"City":[0,16],"connectivity":[1],"is":[2],"an":[3],"important":[4],"measurement":[5],"in":[6,48,166],"characterizing":[7],"human":[8,150],"dynamics":[9],"from":[10,66,71],"regional":[11,169],"to":[12],"international":[13],"scales.":[14],"World":[15],"Network":[17],"has":[18],"been":[19,124],"built":[20],"based":[21,84],"on":[22,85,95],"companies'":[23],"communication.":[24],"The":[25],"interactions":[26],"between":[27],"spatial":[28,155],"and":[29,37,107,143,157,171],"social":[30,51],"dimensions":[31],"of":[32,45,79,82,88,160],"cities":[33],"have":[34,123],"both":[35,96],"conceptual":[36],"practical":[38],"significance.":[39],"To":[40],"further":[41],"expand":[42],"the":[43,49,60,76,86,99,104,111,127],"studies":[44],"inter-city":[46],"network":[47,58,121,147],"big":[50],"data":[52],"context,":[53],"this":[54,161],"research":[55],"builds":[56],"a":[57,115,134],"at":[59,126],"county":[61,109],"level":[62],"using":[63],"digital":[64,93],"footprints":[65,94],"Twitter":[67,72],"users.":[68],"Retrieving":[69],"geotags":[70],"users,":[73],"we":[74,113,138],"identify":[75,140],"connection":[77],"strength":[78],"each":[80,108],"pair":[81],"counties":[83,142],"amounts":[87],"shared":[89,100],"users":[90],"who":[91],"leave":[92],"counties.":[97],"Using":[98],"user":[101,117],"amount":[102],"as":[103,110],"weighted":[105],"link":[106],"node,":[112],"build":[114],"county-to-county":[116],"flow":[118,136],"network.":[119],"Various":[120],"structures":[122],"detected":[125],"state":[128],"level.":[129],"In":[130],"addition,":[131],"by":[132],"creating":[133],"direct":[135],"chain,":[137],"can":[139,163],"influential":[141],"its":[144],"hinterland.":[145],"This":[146],"demonstrates":[148],"how":[149],"mobility":[151],"operate":[152],"across":[153],"various":[154],"settings":[156],"distances.":[158],"Results":[159],"study":[162],"be":[164],"used":[165],"transportation":[167],"planning,":[168],"planning":[170],"metropolitan":[172],"management.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}