基于合著网络的作者影响力评价指标

Evaluation Indices of Author Influence Based on Collaboration Network

[目的/意义]作者合著是科学计量领域的重要研究内容,识别合著中高影响力作者可以为人才引进、资源分配等提供决策参考。为丰富已有的合著作者影响力指标体系,文章提出一种新的评价指标——相对接近度Rc (Relative closeness)指数。[方法 /过程]用作者"论文影响力"反映自身影响力,用"介数中心度"反映网络影响力;采用熵权法确定作者两种影响力的客观权重,通过TOPSIS模型定义指数,以综合量化合著作者的影响力。并以《中国图书馆学报》2008—2017年的论文作者为例,计算作者的Rc指数,与其h指数、破坏力指数进行对比。[结果/结论]结果表明:Rc指数综合考虑了合著作者的自身影响力和网络影响力,评价效果更全面,区分合著作者影响力排名的效果更好。

[Purpose/significance] Co-authorship is the important research content in the field of scientometrics. Identifying authors with high impact from the co-authors can provide decision-making references for talent introduction and resource allocation. In order to enrich the existing co-authors’ influence index system,this paper proposes a new evaluation index: relative closeness( Rc) index. [Method/process] The paper uses author’s 'paper influence'to reflect self influence and the 'intermediate centrality'to reflect the network influence. The entropy weight method is applied to determine the objective weights of the author’s two influences. And Rc index is defined by the TOPSIS model to comprehensively quantify the influence of co-authors. Taking the authors of'Journal of Chinese Library Science'from 2008 to 2017 as examples,authors’ Rc index is calculated and compared with h-index and destructive power index. [Result/conclusion]The results show that Rc index comprehensively considers each author’s own influence and network influence from the co-authors,the evaluation results are more comprehensive,and the effectiveness of ranking the co-authors’ influences is better.