{"data":{"id":"10.6084/m9.figshare.5513620","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5513620","prefix":"10.6084","suffix":"m9.figshare.5513620","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Jichang Zhao","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"How workforce migrates in China: A perspective from social media"}],"publisher":"figshare","container":{},"publicationYear":2018,"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":"2018-02-03","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["4830949 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":"Weibo 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\u003eData Description:\u003cbr\u003eThe demographic and economic information in 2015 are collected at the granularity of province.\u003cbr\u003e\u003cbr\u003eProvince Data Format:\u003cbr\u003eEach line in file(ProvinceInfo.csv) demonstrates a 8-tuple (province, gdp15, Information Technology Industry,Financial Industry,Real Estate Industry,Scientific Research and Technical Services Industry,income15,R\u0026amp;D) defined to denote the economci information of provinces. Details can be found as follows:\u003cbr\u003e1. province: province id2. gdp15: GDP of province3. Information Technology Industry: ratio of practitioner in the information technology industry4. Financial Industry: ratio of practitioner in the Financial industry5. Real Estate Industry: ratio of practitioner in the real estate industry 6. Scientific Research and Technical Services Industry: ratio of practitioner in the scientific research and technical services industry 7. income15: per capita disposable income8. R\u0026amp;D: the fund investment for research and development\u003cbr\u003eTrain Data Desciption:\u003cbr\u003eThe national railway line data, including 5,878 trains in total from train schedule are collected to establish the train network at the granularity of city.\u003cbr\u003eBasic Statistics:\u003cbr\u003eNumber of cities: 284 citiesNumber of citi pairs(undirected): 12381\u003cbr\u003eData Format:Each line in the file(Train.csv) demonstrate a triple (city1, city2, train_count) defined to denote trains that pass through city1 and city2. Details can be found as follows:\u003cbr\u003e1. city1: city id2. city2: city id3. train_count: the number of trains that pass through city1 and city2\u003cbr\u003eAny issues please feel free to contact jichang@buaa.edu.cn.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.6084/M9.FIGSHARE.5513620</identifier>
  <creators>
    <creator>
      <creatorName>Jichang Zhao</creatorName>
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  <titles>
    <title>How workforce migrates in China: A perspective from social media</title>
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  <descriptions>
    <description descriptionType="Abstract">&lt;div&gt;Weibo Data Description:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Tweets 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.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Basic Statistics:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Number of cities: 371&lt;/div&gt;&lt;div&gt;Number of city pairs(directed): 120,361&lt;/div&gt;&lt;div&gt;Number of city pairs(undirected): 61,759&lt;/div&gt;&lt;div&gt;Number of all flux: 41,454,268 &lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Data Format:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Each 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.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;1. city1: origin city id&lt;/div&gt;&lt;div&gt;2. city2: destination city id&lt;/div&gt;&lt;div&gt;3. flux: number of movements from city1 to city2&lt;/div&gt;&lt;div&gt;4. gdp1: GDP of city1&lt;/div&gt;&lt;div&gt;5. gdp2: GDP of city2&lt;/div&gt;&lt;div&gt;6. avg_gdp1: the per capita GDP of city1&lt;/div&gt;&lt;div&gt;7. avg_gdp2: the per capita GDP of city2&lt;/div&gt;&lt;div&gt;8. population1: the number of permanent residents in city1&lt;/div&gt;&lt;div&gt;9. population2: the number of permanent residents in city2&lt;/div&gt;&lt;div&gt;10. geographical_distance: geographical distance between city1 and city2&lt;/div&gt;&lt;div&gt;11. travel_distance: travel distance from city1 to city2 provided by Baidu Map API&lt;/div&gt;&lt;div&gt;12. travel_time: travel time from city1 to city2 provided by Baidu Map API&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;Data Description:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The demographic and economic information in 2015 are collected at the granularity of province.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Province Data Format:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Each line in file(ProvinceInfo.csv) demonstrates a 8-tuple (province, gdp15, Information Technology Industry,Financial Industry,Real Estate Industry,Scientific Research and Technical Services Industry,income15,R&amp;D) defined to denote the economci information of provinces. Details can be found as follows:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;1. province: province id&lt;/div&gt;&lt;div&gt;2. gdp15: GDP of province&lt;/div&gt;&lt;div&gt;3. Information Technology Industry: ratio of practitioner in the information technology industry&lt;/div&gt;&lt;div&gt;4. Financial Industry: ratio of practitioner in the Financial industry&lt;/div&gt;&lt;div&gt;5. Real Estate Industry: ratio of practitioner in the real estate industry &lt;/div&gt;&lt;div&gt;6. Scientific Research and Technical Services Industry: ratio of practitioner in the scientific research and technical services industry &lt;/div&gt;&lt;div&gt;7. income15: per capita disposable income&lt;/div&gt;&lt;div&gt;8. R&amp;D: the fund investment for research and development&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;Train Data Desciption:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The national railway line data, including 5,878 trains in total from train schedule are collected to establish the train network at the granularity of city.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Basic Statistics:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Number of cities: 284 cities&lt;/div&gt;&lt;div&gt;Number of citi pairs(undirected): 12381&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Data Format:&lt;/div&gt;&lt;div&gt;Each line in the file(Train.csv) demonstrate a triple (city1, city2, train_count) defined to denote trains that pass through city1 and city2. Details can be found as follows:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;1. city1: city id&lt;/div&gt;&lt;div&gt;2. city2: city id&lt;/div&gt;&lt;div&gt;3. train_count: the number of trains that pass through city1 and city2&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Any issues please feel free to contact jichang@buaa.edu.cn. &lt;/div&gt;</description>
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    <subject schemeURI="http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E" subjectScheme="FOR">110699 Human Movement and Sports Science not elsewhere classified</subject>
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    <subject>Economics</subject>
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  <publicationYear>2018</publicationYear>
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    <date dateType="Created">2017-10-19</date>
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