{"data":{"id":"10.6084/m9.figshare.5513620.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5513620.v1","prefix":"10.6084","suffix":"m9.figshare.5513620.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Jichang Zhao","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"How workforce migrates in China: A perspective from social media"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"169999 Studies in Human Society not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Sociology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Sociology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"110699 Human Movement and Sports Science not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Health sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"160806 Social Theory","subjectScheme":"FOR"},{"subject":"160303 Migration","subjectScheme":"FOR"},{"subject":"140218 Urban and Regional Economics","subjectScheme":"FOR"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Economics and business","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Economics"}],"contributors":[],"dates":[{"date":"2017-10-19","dateType":"Created"},{"date":"2017-10-19","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.5513620","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["4695147 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Data Description:\u003cbr\u003eTweets of Weibo during the Spring Festival travel rush, from January 13 to February 21 in 2017 are thoroughly collected to establish the migration network of workforce at the granularity of city.\u003cbr\u003eBasic Statistics:\u003cbr\u003eNumber of cities: 371Number of city pairs(directed): 120,361Number of city pairs(undirected): 61,759Number of all flux: 41,454,268 \u003cbr\u003eData Format:\u003cbr\u003eEach line in the file(WorkforceMigrate.csv) demonstrates a 12-tuple (city1,city2,flux,gdp1,gdp2,ave_gdp1,ave_gdp2,population1,population2,geographical_distance,travel_time,travel_distance) defined to denote workforce movement from city1 to city2. Details can be found as follows.\u003cbr\u003e1. city1: origin city id2. city2: destination city id3. flux: number of movements from city1 to city24. gdp1: GDP of city15. gdp2: GDP of city26. avg_gdp1: the per capita GDP of city17. avg_gdp2: the per capita GDP of city28. population1: the number of permanent residents in city19. population2: the number of permanent residents in city210. geographical_distance: geographical distance between city1 and city211. travel_distance: travel distance from city1 to city2 provided by Baidu Map API12. travel_time: travel time from city1 to city2 provided by Baidu Map API\u003cbr\u003eAny issues please feel free to contact jichang@buaa.edu.cn.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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