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HUMAN GEOGRAPHY  2020, Vol. 35 Issue (4): 121-129    DOI: 10.13959/j.issn.1003-2398.2020.04.015
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SPATIAL DISTRIBUTION AND GEOGRAPHICAL MOBILE NETWORK OF ENTERPRISE MANAGEMENT TALENTS IN YANGTZE RIVER DELTA: BASED ON THE DATA OF SENIOR EXECUTIVE DIRECTOR TEAM OF LISTED COMPANY
ZHU Peng-cheng1, ZHANG Yu1, CAO Wei-dong1, REN Ya-wen2, JIANG Yu-fan3
1. School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China;
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
3. University of Illinois at Urbana-Champaign, Champaign, IL 61820, US

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Abstract  Based on the big data of enterprise talents' resumes, the article takes the team of directors of listed companies as a typical group and study the general rules and characteristics of spatial distribution and mobile network of enterprise management talents in Yangtze river delta region by using the methods including CV analysis, social network analysis and modified composite-index method. The results are shown as follows: 1) The spatial distribution of enterprise management talents varies in different areas of Yangtze river delta region. 2) Embracing a few cities as the core and closely connecting each other, the enterprise management talent flow network in Yangtze river delta region is scale-free. 3) Four regional types of enterprise mobile talents are divided according to the direction of flows and level of activities, which shown as a "Fragment" feature.
Key wordsenterprise management talents      spatial distribution      mobile network      regional type     
Received: 26 September 2019     
PACS: K901.3  
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ZHU Peng-cheng
ZHANG Yu
CAO Wei-dong
REN Ya-wen
JIANG Yu-fan
Cite this article:   
ZHU Peng-cheng,ZHANG Yu,CAO Wei-dong等. SPATIAL DISTRIBUTION AND GEOGRAPHICAL MOBILE NETWORK OF ENTERPRISE MANAGEMENT TALENTS IN YANGTZE RIVER DELTA: BASED ON THE DATA OF SENIOR EXECUTIVE DIRECTOR TEAM OF LISTED COMPANY[J]. HUMAN GEOGRAPHY, 2020, 35(4): 121-129.
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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2020.04.015      OR     http://rwdl.xisu.edu.cn/EN/Y2020/V35/I4/121
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