International Scientific Collaboration in Artificial Intelligence An Analysis based on Web Data


연구 분야: Artificial Intelligence



학회: WebSci '20: Proceedings of the 12th ACM Conference on Web Science


초록

In this era of interdisciplinary science, Web science and artificial intelligence (AI), have brought dramatic revolutions to human society. The increasing availability of structured and unstructured information on the Web has become a critical research resource and offers unprecedented opportunities to explore the science of science (SciSci). SciSci use science technique to study the past, current, and evolving scientific discovery. Although many significant SciSci works study the patterns of international scientific collaboration, the relevant knowledge in AI is sorely lacking. In this work, we study the evolution of the international scientific collaboration patterns in the AI field. By graphing the entities and relationships in the international collaboration pattern, we make multiple multidimensional statistical analyses from the perspectives of institutions and countries.


Author Profile
Sha Yuan

Beijing Academy of Artificial Intelligence China

China
Author Profile
Zhou Shao

Nanjing University of Science and Technology China

Andorra
Author Profile
Yangxiao Liang

Beijing Academy of Artificial Intelligence China

China

📄 논문 정보

발행 연도 2020년
인용수 4
출판 국가 United Kingdom, Andorra, China
사이트 ACM
좋아요 수 0

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