基于灰色关联分析的作者影响力综合评价方法

发布时间：2019-02-21 08:54

【摘要】：[目的/意义]针对现有评价方法对作者影响力的因素考虑不全面,以及单一指标评价的片面性等问题,提出一种基于灰色关联分析的综合评价方法。[方法/过程]首先,通过考虑论文的时间因子、期刊的影响因子等因素,设计了反映作者研究成果价值的总复合被引频次指标;然后,考虑到论文中的作者数量、署名位次以及通信作者因素,利用了改进后的调和计量式来分配作者的贡献权重,进而提出了作者活跃度指标;最后,基于熵权法和灰色关联分析,并结合4个不同层面的评价指标,提出了作者影响力的综合性评价指标--关联度。[结果/结论]对图书情报学领域的81位待评估作者进行实证分析,结果表明:关联度指标相比其他传统指标,能更客观地区分作者的影响力;其中的总复合被引频次,相比总被引频次,能更真实地反映作者研究成果的实际价值。
[Abstract]:[objective / significance] A comprehensive evaluation method based on grey relational analysis is proposed to solve the problems of the influence factors of the existing evaluation methods on the author and the one-sidedness of the single index evaluation. [method / process] first of all, by considering the time factor of the paper and the influence factor of the journal, the author designed the index of the total compound citation frequency which reflected the value of the author's research results. Then, considering the author's number, signature rank and correspondence author's factor, the author's contribution weight is allocated by using the improved harmonic metrology, and then the author's activity index is put forward. Finally, based on entropy weight method and grey relational analysis, combined with four different evaluation indexes, this paper puts forward the comprehensive evaluation index of the author's influence, which is the correlation degree. [results / conclusion] an empirical analysis of 81 authors in the field of library and information science was carried out. The results showed that the correlation index could objectively distinguish the influence of the author compared with other traditional indicators. Compared with the total citation frequency, the total compound citation frequency can reflect the actual value of the author's research results more truthfully.
【作者单位】：上海理工大学管理学院;
【基金】：国家自然科学基金项目“超网络及其零行列式策略博弈演化机制研究”(编号:71571119)研究成果之一
【分类号】：G353.1

【相似文献】