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

Tao JIA; Feng XIA

doi:10.11959/j.issn.2096-0271.2019040

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

TOPIC：ACADEMIC BIG DATA | 更新时间：2024-06-03

- Quantifying patterns in the behavior of scientists in Science of Science study
- Big Data Research Vol. 5, Issue 5, Pages: 2019040-1(2019)
- 作者机构：
  
  1. 西南大学计算机与信息科学学院，重庆 400715
  2. 大连理工大学软件学院，辽宁大连 116620
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019040
  CLC： TP39
- Online First：2019-09，
  
  Published：15 September 2019
- 稿件说明：
移动端阅览
Tao JIA, Feng XIA. Quantifying patterns in the behavior of scientists in Science of Science study[J]. Big Data Research, 2019, 5(5): 2019040-1.
DOI：

Tao JIA, Feng XIA. Quantifying patterns in the behavior of scientists in Science of Science study[J]. Big Data Research, 2019, 5(5): 2019040-1. DOI： 10.11959/j.issn.2096-0271.2019040.

摘要

科学的复杂性、数据的可用性、对科学研究中客观规律认知的现实需求使得“科学学”这一传统问题转变为新兴的交叉研究热点。科学研究的主导者是科研工作者，研究科学中的规律首先要了解科研工作者的行为特征。梳理、介绍了几个相关的工作，包括科研工作者研究兴趣的演化、科研合作的内在驱动因素、科研团队与科研team的异同、多维度科研评价与学术不端的监测。研究结果可以为科研管理等现实问题提供理论工具和实证支撑。

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.

关键词

Keywords

references

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