基于合作网络的学者动态学术影响力模式识别研究

Recognizing Dynamic Academic Impacts of Scholars Based on Cooperative Network

【目的】利用高合作学者识别算法和学者影响力模式识别算法识别出团队的高合作学者以及其动态学术影响力模式,为团队中人才成长提供参考。【方法】根据学者的合作人数情况,区分出团队中的高合作学者;利用高合作学者的发文量和度数中心度指标测度学者的个人影响力和在团队的影响力,识别学者的动态学术影响力模式。【结果】不同团队中的高合作学者数量不一,为零至多个。高合作学者的动态学术影响力模式不同,识别为稳步增长或成熟波动模式。【局限】仅利用两个指标来测度学者影响力,对于较复杂情况的学者需引入更多的指标识别其动态学术影响力模式。【结论】高合作学者识别算法和学者影响力模式识别算法能够较合理地识别出团队中的高合作学者及其动态学术影响力模式。

[Objective] This paper tries to identify the high cooperative scholars and their dynamic academic impacts with the help of high cooperative scholar recognition algorithm and the scholar impact recognition algorithm. [Methods] First, we identified the high cooperation scholars based on the number of collaborators. Then, we estimated the impacts of these scholars and their teams with the amount of publications and degree of centrality. [Results] The number of highly cooperative scholars varied among the teams. The dynamic academic impacts of highly cooperative scholars were either growing steadily or fluctuating maturely. [Limitations] Only used two indicators to measure the impacts of scholars. More indicators were needed to analyze the complex cases. [Conclusions] The proposed method could effectively identify the highly cooperative scholars of the team and their dynamic academic impacts.