{"id":"https://openalex.org/W2060448909","doi":"https://doi.org/10.1109/geoinformatics.2013.6626129","title":"A research on complex network of Chinese interprovincial migration based on the fifth population census","display_name":"A research on complex network of Chinese interprovincial migration based on the fifth population census","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2060448909","doi":"https://doi.org/10.1109/geoinformatics.2013.6626129","mag":"2060448909"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2013.6626129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","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/A5014993075","display_name":"Shang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shang Dong","raw_affiliation_strings":["School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060946990","display_name":"Yingxia Pu","orcid":"https://orcid.org/0000-0002-1211-1205"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxia Pu","raw_affiliation_strings":["School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455024","display_name":"Ya Ping Wang","orcid":"https://orcid.org/0000-0002-8771-465X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Wang","raw_affiliation_strings":["School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014993075"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.19766382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11239","display_name":"Social Capital and Networks","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11239","display_name":"Social Capital and Networks","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11645","display_name":"Urban, Neighborhood, and Segregation Studies","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.740365743637085},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.673986554145813},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6001704931259155},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5883550047874451},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5627799034118652},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5589160323143005},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5485891699790955},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.5367670059204102},{"id":"https://openalex.org/keywords/economic-geography","display_name":"Economic geography","score":0.5010538101196289},{"id":"https://openalex.org/keywords/destinations","display_name":"Destinations","score":0.449446439743042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40993112325668335},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.3694832921028137},{"id":"https://openalex.org/keywords/regional-science","display_name":"Regional science","score":0.34363317489624023},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3201432228088379},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.24088308215141296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1801922619342804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1196678876876831},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09310469031333923}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.740365743637085},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.673986554145813},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6001704931259155},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5883550047874451},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5627799034118652},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5589160323143005},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5485891699790955},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.5367670059204102},{"id":"https://openalex.org/C26271046","wikidata":"https://www.wikidata.org/wiki/Q187097","display_name":"Economic geography","level":1,"score":0.5010538101196289},{"id":"https://openalex.org/C2776687071","wikidata":"https://www.wikidata.org/wiki/Q5265193","display_name":"Destinations","level":3,"score":0.449446439743042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40993112325668335},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.3694832921028137},{"id":"https://openalex.org/C148383697","wikidata":"https://www.wikidata.org/wiki/Q1781695","display_name":"Regional science","level":1,"score":0.34363317489624023},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3201432228088379},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.24088308215141296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1801922619342804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1196678876876831},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09310469031333923},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2013.6626129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W84234982","https://openalex.org/W648968271","https://openalex.org/W2008620264","https://openalex.org/W2018727665","https://openalex.org/W2019431510","https://openalex.org/W2060091647","https://openalex.org/W2112090702","https://openalex.org/W2164727176","https://openalex.org/W2358361422","https://openalex.org/W2360008835","https://openalex.org/W2373872550","https://openalex.org/W2387436117","https://openalex.org/W2586735762","https://openalex.org/W6603389583","https://openalex.org/W7019787104"],"related_works":["https://openalex.org/W1973121905","https://openalex.org/W2021654076","https://openalex.org/W2077715071","https://openalex.org/W2035423614","https://openalex.org/W2931395331","https://openalex.org/W2024447004","https://openalex.org/W2071421102","https://openalex.org/W2565653726","https://openalex.org/W1979477222","https://openalex.org/W2357702059"],"abstract_inverted_index":{"Based":[0],"on":[1,122],"complex":[2,43,62,76],"network":[3,30,40,44,60,63,72,77,144],"analysis":[4],"methods,":[5],"this":[6],"paper":[7],"uses":[8],"the":[9,26,87,92,99,106],"fifth":[10],"census":[11],"data":[12,20],"and":[13,24,29,50,91,120,133],"2005":[14],"national":[15],"1%":[16],"population":[17,103],"sample":[18],"survey":[19],"to":[21],"preliminarily":[22],"compare":[23],"analyse":[25],"structure":[27],"characteristics":[28],"complexity":[31],"of":[32,42,82,94,105],"Chinese":[33,57,69,124,141],"interprovincial":[34,58,70,125,142],"migration":[35,59,71,83,95,126,143],"network.":[36,148],"We":[37,52],"calculate":[38],"three":[39],"indices":[41],"model:":[45],"centrality":[46],"degree,":[47],"clustering":[48],"coefficient,":[49],"dispersion.":[51],"estimate":[53],"whether":[54],"or":[55],"not":[56],"has":[61,73,136],"characteristics.":[64],"The":[65,80,129],"results":[66],"show:":[67],"(1)":[68],"a":[74,146],"certain":[75],"characteristics;":[78],"(2)":[79],"destinations":[81],"usually":[84,96],"concentrate":[85,97],"in":[86,98],"eastern":[88],"coastal":[89],"areas,":[90,101],"origins":[93],"central":[100],"while":[102],"mobility":[104],"western":[107],"areas":[108],"is":[109,145],"low;":[110],"(3)":[111],"A":[112],"few":[113],"\u201chub\u201d":[114],"nodes,":[115],"such":[116],"as":[117],"Beijing,":[118],"Guangzhou,":[119],"so":[121],"support":[123],"network;":[127],"(4)":[128],"distribution":[130,139],"between":[131],"degrees":[132],"province":[134],"number":[135],"\u201clong":[137],"tail\u201d":[138],"characteristics,":[140],"scale-free":[147]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
