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Journal of Library and Information Science in Agriculture ›› 2021, Vol. 33 ›› Issue (6): 66-80.doi: 10.13998/j.cnki.issn1002-1248.21-0389

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• Bibliometrics • Previous Articles     Next Articles

Academic Origin Structure and Mobility Network of Technological Talent in Chinese Universities

HOU Jianhua, GENG Bingbing, ZHANG Yang*   

  1. School of Information Management, Sun Yat-Sen University, Guangzhou 510006
  • Received:2021-03-15 Online:2021-06-05 Published:2021-06-15

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Abstract: [Purpose/Significance]This paper analyzes the structure of academic origin and the characteristics of talent mobility between universities, and puts forward suggestions on optimizing the structure of academic origin and rationally arranging talent resource to optimize the structure of the scientific research team and promote academic innovation and scientific research output. [Method/Process] This article uses statistical analysis and social network analysis methods to analyze the academic origin structure of scientific and technological talent in the field of artificial intelligence in Chinese universities from the aspects of hierarchy, extensiveness, and aggregation. At the same time, the talent mobility network between universities in this field is explored from the aspects of trans-school mobility, trans-regional mobility and university attribute. [Results/Conclusions] This article proposes that universities should change their concept of employment, introduce talent competition mechanisms, openly recruit talent from all over the world, and create more academic exchange opportunities such as increasing learning exchange programs between universities. The government needs to strengthen policy guidance, increase funding support, formulate laws and regulations, etc., in order to achieve the goal of optimizing the structure of academic origin, promoting the mobility of talent, and rationalizing the structure of the scientific research team.

Key words: scientific and technological talent, academic origin structure, talent mobility, social network analysis

CLC Number: 

  • G353.1
[1] 王珍珍. 高校教师队伍学缘结构的现状及优化——以“近亲繁殖”现象为视角[J]. 苏州教育学院学报, 2012, 29(1): 92-95.
WANG Z Z.The current situation and optimization of academic-origin structure of university teaching staff: From the perspective of inbreeding[J]. Journal of Suzhou college of education, 2012, 29(1): 92-95.
[2] 马莉. 从“学缘结构”看高校人才流动[J]. 中南民族学院学报(人文社会科学版), 2001(2): 124-125.
MA L.On the flow of talents in colleges and universities from the perspective of "learning edge structure"[J]. Journal of south-central university for nationalities(humanities and social sciences), 2001(2): 124-125.
[3] MCNEELY J H.Faculty inbreeding in land-grant colleges and universities[M]. US government printing office, 1932.
[4] EELLS W C, CLEVELAND A C.Faculty inbreeding[J]. The journal of higher education, 1935, 6(5): 261-269.
[5] 张智红. 地方高校教师学缘结构调查研究[D]. 武汉: 武汉工程大学, 2017.
ZHANG Z H.The investigation and analysis of faculty academic origin structure in local university[D]. Wuhan: Wuhan institute of technology, 2017.
[6] 董泽芳, 黄燕, 黄建雄. 我国高校教师队伍学缘结构问题及优化对策——基于三个视角的调查与分析[J]. 教育科学, 2012, 28(5): 48-52.
DONG Z F, HUANG Y, HUANG J X.On problems and optimizing countermeasures of the teaching body academic origin structure in Chinese HEIs - Based on the three perspectives of survey and analysis[J]. Education science, 2012, 28(5): 48-52.
[7] 李扬裕, 何东进. 高校师资队伍学缘结构评价和预测方法研究[J]. 福建农林大学学报(哲学社会科学版), 2010, 13(5): 102-105.
LI Y Y, HE D J.Method for assessing and predicting consanguinity structure of scholarships for teacher staff in colleges and universities[J]. Journal of Fujian agriculture and forestry university(philosophy and social sciences), 2010, 13(5): 102-105.
[8] 张立平. 师资队伍学缘结构的定量评价方法[J]. 辽宁教育研究, 2007(3): 89-91.
ZHANG L P.A quantitative evaluation method of the academic structure of the faculty[J]. Modern education management, 2007(3): 89-71.
[9] 胡学实. 我国高校教师队伍学缘结构研究[D]. 武汉: 华中师范大学, 2014.
HU X S.A study of teaching staff's academic relationship structure in Chinese colleges and universities[D]. Wuhan : Central China normal university, 2014.
[10] 吴菡, 朱佳妮. 学术DNA: 我国高校海归教师的学缘研究——以清华大学、北京大学、复旦大学和上海交通大学为例[J]. 江苏高教, 2018(4): 49-53.
WU H, ZHU J N.Academic DNA: Research on the academic origin of overseas returned teachers in China[J]. Jiangsu higher education, 2018(4): 49-53.
[11] 孟缘, 吴培群. 我国高校信息安全教师专业学缘特点研究[J]. 网络与信息安全学报, 2017, 3(7): 64-69.
MENG Y, WU P Q.Research on professional learning margin of university information security teachers in China[J]. Chinese journal of network and information security, 2017, 3(7): 64-69.
[12] 李树强. 基于学术资本的高校学缘结构研究[D]. 北京: 北京交通大学, 2017.
LI S Q.Research on the consanguinity structure of scholarships based on academic capital[D]. Beijing: Beijing Jiaotong university, 2017
[13] 邓海霞, 姜海. 浅谈改善高校教师队伍学缘结构——以"近亲繁殖"现象为视角[J]. 法制与社会, 2008(17): 224.
DENG H Q, JIANG H.On improving the academic relationship structure of university teachers - From the perspective of "inbreeding"[J]. Legal system and society, 2008(17): 224.
[14] 吴鹏. 学缘结构对我国高校教师学术职业发展的影响分析[J]. 重庆第二师范学院学报, 2016, 29(4): 149-152.
WU P.An analysis of the influence of the structure of academic relationship on the academic career development of university teachers in China[J]. Journal of Chongqing university of education, 2016, 29(4): 149-152.
[15] 彭娟, 张光磊. 学缘结构对高校科研团队成员工作绩效的影响[J]. 中国高校科技, 2016(11): 22-25.
PENG J, ZHANG G L.The influence of academic relationship structure on the work performance of university scientific research team members[J]. Chinese university science & technology, 2016(11): 22-25.
[16] 王嘉颖, 岳思言, 李璐. 高校教师队伍学缘结构测量指标探索[J]. 教师教育论坛, 2015, 28(7): 48-54.
WANG J Y, YUE S Y, LI L.The measurement index of faculty in colleges and universities for the academic origin structure[J]. Teacher education forum, 2015, 28(7): 48-54.
[17] 黄建雄, 卢晓梅. 高校教师队伍学缘结构的三重特征及其优化[J]. 江苏高教, 2011(5): 41-43.
HUANG J X, LU X M.The triple characteristics and optimization of the academic structure of university teachers[J]. Jiangsu higher education, 2011(5): 41-43.
[18] 卢昌宁. 当前高校教师队伍学缘结构问题的思考和建议[J]. 科教导刊(上旬刊), 2011(11): 82, 136.
LU C N. Reflections and suggestions on the structure of academic affinity of college teachers[J]. The guide of science & education, 2011(11): 82, 136.
[19] 杜文静. 试论国外大学教师聘任制度及其对中国的启示[J]. 郑州师范教育, 2012, 1(5): 5-8.
DU W J.On the appointment system of foreign university teachers and its enlightenment to China[J]. Journal of Zhengzhou normal education, 2012, 1(5): 5-8.
[20] 侯纯光, 杜德斌, 刘承良, 等. 全球人才流动网络复杂性的时空演化——基于全球高校留学生流动数据[J]. 地理研究, 2019, 38(8): 1862-1876.
HOU C G, DU D B, LIU C L, et al.Spatiotemporal evolution of global talent mobility network based on the data of international student mobility[J]. Geographical research, 2019, 38(8): 1862-1876.
[21] 穆玉清. 我国民办高校人才流动现象研究——基于双因素理论的视角[J]. 中国经贸导刊(中), 2020(3): 153-154.
MU Y Q.Research on the phenomenon of talent flow in private colleges and universities in China - Based on the perspective of two factor theory[J]. China economic & trade herald, 2020(3): 153-154.
[22] 田瑞强, 姚长青, 袁军鹏, 等. 基于科研履历的科技人才流动研究进展[J]. 图书与情报, 2013(5): 119-125.
TIAN R Q, YAO C Q, YUAN J P, et al Curriculum vitae method in researchers' mobility research[J]. Library & information, 2013(5): 119-125.
[23] 徐娟, 王泽东. 我国大学高层次人才流动规律研究——来自6类项目人才简历的实证分析[J]. 高校教育管理, 2020, 14(2): 105-115.
XU J, WANG Z D.The regularity of university high level talent mobility in China: Based on the empirical analysis of resumes of six project talents[J]. Journal of higher education management, 2020, 14(2): 105-115.
[24] 田瑞强, 姚长青, 潘云涛, 等. 基于履历数据的海外华人高层次科技人才流动研究: 社会网络分析视角[J]. 图书情报工作, 2014, 58(19): 92-99.
TIAN R Q, YAO C Q, PAN Y T, et al.Using the curriculum vitae for career mobility research of Chinese overseas highly-talent: From the perspective of social network analysis[J]. Library and information service, 2014, 58(19): 92-99.
[25] 张涵. 《中国人工智能发展报告2018》正式发布[J]. 中国国情国力, 2018(8): 80.
ZHANG H. “China AI development report2018 officially released” officially released[J]. China national conditions and strength, 2018(8): 80.
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