图书情报工作 ›› 2020, Vol. 64 ›› Issue (20): 14-22.DOI: 10.13266/j.issn.0252-3116.2020.20.002

• 专题:数据驱动视角下人工智能领域科研团队的识别与规律研究 • 上一篇    下一篇

人工智能科研团队的合作模式及其对比研究

王曰芬1, 杨雪1, 余厚强1, 曹嘉君1,2   

  1. 1 南京理工大学经济管理学院 南京 210094;
    2 南洋理工大学计算机科学与工程学院 新加坡 639798
  • 收稿日期:2020-05-11 修回日期:2020-07-06 出版日期:2020-10-20 发布日期:2020-10-20
  • 作者简介:王曰芬(ORCID:0000-0002-7143-7766),教授,博士生导师,E-mail:yuefen163@163.com;杨雪(ORCID:0000-0002-6841-4440),硕士研究生;余厚强(ORCID:0000-0002-9241-6630),副教授,博士;曹嘉君(ORCID:0000-0003-1113-2204),博士研究生。
  • 基金资助:
    本文系国家社会科学基金重大项目"面向知识创新服务的数据科学理论与方法研究"(项目编号:16ZDA224)研究成果之一。

The Collaboration Pattern and Comparative Analysis of Research Teams in the Artificial Intelligence Field

Wang Yuefen1, Yang Xue1, Yu Houqiang1, Cao Jiajun1,2   

  1. 1 School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094;
    2 School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798
  • Received:2020-05-11 Revised:2020-07-06 Online:2020-10-20 Published:2020-10-20
  • Supported by:
     

摘要: [目的/意义] 探讨人工智能领域科研团队的合作模式,并比较不同合作模式科研团队的差异与影响。[方法/过程] 以已识别出的人工智能领军团队为研究对象,根据团队中学者的合作人数情况和社会网络指标,识别出团队中的核心学者,进而划分人工智能科研团队的合作模式,并对不同合作模式的团队进行举例分析。在此基础上,从网络结构特征、研究绩效与地理分布几个维度,对比分析不同合作模式领军团队之间的差异。[结果/结论] 人工智能领域科研团队的合作模式被划分为单核模式、双核模式、多核模式以及均衡模式4种类型,其中,单核模式和双核模式的科研团队在所研究维度上都表现较为优异。

 

关键词: 人工智能, 科研合作, 合作模式, 核心学者, 数据分析

Abstract: [Purpose/significance] This paper discusses the collaboration pattern of research teams in the artificial intelligence field, and compares the differences among research teams in different collaboration pattern.[Method/process] Taking the identified AI leading research team as the research object, and according to the number of scholars and the indicator value of social network indicator in the team, the core scholars in the team were identified, so as to divide the collaboration pattern of the AI research team, and analyze the teams with different collaboration pattern with examples. On this basis, the differences among the leading teams of different collaboration pattern were compared and analyzed from several dimensions of network structure characteristics, research performance and geographical distribution.[Result/conclusion] The cooperative patterns, of research teams in the field of artificial intelligence are divided into four types:single-core pattern, dual-core pattern, multi-core pattern and equilibrium pattern. Among them, the research teams of single-core pattern and dual-core pattern all perform well in the research dimension.

Key words: artificial intelligence, scientific research cooperation, collaboration pattern, core scholars, data analysis

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