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Science behind AI: the evolution of trend, mobility, and collaboration

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Abstract

In this era of interdisciplinary science, many scientific achievements, such as artificial intelligence (AI), have brought dramatic revolutions to human society. The increasing availability of digital data on scholarly outputs offers unprecedented opportunities to explore science of science (SciSci). Despite many significant works have been done on SciSci, substantial disciplinary differences in different domains make some insights inadequate within particular fields. One thing standing out is that knowledge concerning the science behind AI is sorely lacking. In this work, we study the evolution of AI from three dimensions, including the evolution of trend, mobility, and collaboration. We find that the AI research hotspots have shifted from theory to application. The USA, which has the largest number of distinguished AI scientists, appeals most to the global AI talents. The brain drain problem of AI scientists is increasingly serious in developing countries. The ties among the AI elites are highly clustered in the collaboration network. Overall, our work aims to serve as a starter and support the development of AI exploring in a visionary way. The related demos are available online in AMiner (https://www.aminer.cn/ai10, https://trend.aminer.org).

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Notes

  1. https://www.aminer.cn.

  2. https://trend.aminer.cn.

  3. https://www.aminer.cn/ai10.

  4. https://traj.aminer.cn/trajectory-index.

  5. http://static.aminer.org/lab-datasets/trajectory/top10000career-trajectory.mp4.

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Acknowledgements

The work is supported by the National Natural Science Foundation of China (NSFC) under Grant No. 61806111, No. 61806109 and NSFC for Distinguished Young Scholar under Grant No. 61825602.

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Author notes

  1. Sha Yuan and Zhou Shao have contributed equally to this article.

Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Sha Yuan, Zhou Shao & Jie Tang

  2. Nanjing University of Science and Technology, Nanjing, China

    Zhou Shao & Yongli Wang

  3. Beijing Academy of Artificial Intelligence, Beijing, China

    Sha Yuan

  4. Beihang University, Beijing, China

    Xingxing Wei

  5. University of Southampton, Southampton, UK

    Wendy Hall

  6. Exchange, Development and Service Center for Science Technology Talents, The Ministry of Science and Technology of China, Beijing, China

    Ying Wang & Ye Wang

Authors
  1. Sha Yuan
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  2. Zhou Shao
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  4. Jie Tang
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  6. Yongli Wang
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  7. Ying Wang
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  8. Ye Wang
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Corresponding author

Correspondence to Jie Tang.

Additional information

Sha Yuan and Zhou Shao are co-first authors.

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Yuan, S., Shao, Z., Wei, X. et al. Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics 124, 993–1013 (2020). https://doi.org/10.1007/s11192-020-03423-7

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  • DOI: https://doi.org/10.1007/s11192-020-03423-7

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