基于灰色关联分析的作者影响力综合评价方法

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.%[Purpose/Significance]Aiming at the problems of existing methods of author influence evaluation, the paper puts forward a comprehensive evaluation method based on grey relational analysis.[Method/Process]Firstly, by considering the time factors of papers and the impact factors of journals, the paper designs the total composite cited index that can reflect the actual value of the authors' papers.Then, by considering the number of authors, authors' signature order and the corresponding authors, the active degree index is obtained.Finally, by integrating the 4 indices, the paper proposes the relation degree index based on entropy weight method and grey relational analysis.[Result/Conclusion]The empirical results show that compared with other traditional indicators, the method can more objectively distinguish authors' influence.Moreover, compared with the total cited index, the total composite cited index can reflect the academic contributions of authors more truly.