论文标题
从地理距离的角度了解人工智能方面的团队合作
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance
论文作者
论文摘要
本文从地理距离的角度分析了人工智能领域（AI）领域的团队合作。我们从Microsoft学术图中获得了1950 - 2019年期间的1,584,175 AI相关出版物。使用了三个基于纬度的指标来量化国内和国际水平的AI合作的地理距离。结果表明，随着时间的推移，在AI中的团队合作在该领域变得更加流行，2019年大约有42,000（38.4％）多重附加AI出版物。团队合作的地理距离的变化表明，随着时间的推移，国内和国内合作的广度和密度增加。此外，美国在2010年以后的国际合作中发挥了最大数量的单个国家和国际合作的AI出版物，中国发挥了重要作用。
This paper analyzes team collaboration in the field of Artificial Intelligence (AI) from the perspective of geographic distance. We obtained 1,584,175 AI related publications during 1950-2019 from the Microsoft Academic Graph. Three latitude-and-longitude-based indicators were employed to quantify the geographic distance of collaborations in AI over time at domestic and international levels. The results show team collaborations in AI has been more popular in the field over time with around 42,000 (38.4%) multiple-affiliation AI publications in 2019. The changes in geographic distances of team collaborations indicate the increase of breadth and density for both domestic and international collaborations in AI over time. In addition, the United States produced the largest number of single-country and internationally collaborated AI publications, and China has played an important role in international collaborations in AI after 2010.
