Big Data Research ›› 2019, Vol. 5 ›› Issue (5): 38-47.doi: 10.11959/j.issn.2096-0271.2019040

• TOPIC:ACADEMIC BIG DATA • Previous Articles     Next Articles

Quantifying patterns in the behavior of scientists in Science of Science study

Tao JIA1,Feng XIA2   

  1. 1 College of Computer and Information Science,Southwest University,Chongqing 400715,China
    2 School of Software,Dalian University of Technology,Dalian 116620,China
  • Online:2019-09-15 Published:2019-10-11
  • Supported by:
    The National Natural Science Foundation of China(61603309)

Abstract:

The complexity of science,the data availability and the need for better understanding of science promote the research in an emerging field of “Science of Science”.To understand the regularities in science,we need to first understand the behavior patterns of scientists.A few related works were reviewed and introduced,including research interest evolution,internal microscopic driven force in scientific collaboration,the difference of research tuandui and research team,and the multidimensional measure of a scholar’s performance to prevent academic gaming.The results obtained will provide theoretical tools and empirical supports for practical issues related with research policy and research evaluation.

Key words: Science of Science, scientific collaboration, research evaluation, academia profile

CLC Number: 

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