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【目的/意义】探索合著网络的节点权重指标在作者影响力测度方面的应用。【方法/过程】分析了合著网络中用于测度节点影响力的指标,并对其中类h混合中心性指标进行改进。以计算机领域核心期刊为例,对比分析了改进前后的节点权重指标在作者影响力测度上的优劣。【结果/结论】类h混合中心性指标可以和传统指标在高水平作者遴选方面存在一定差异性,可以在作者评价上形成互补。改进后的类h混合中心性指标能够综合考虑多方面的因素来确定节点权重,能更好地反映作者的影响力。从合著影响力来遴选高水平作者,可以为相关机构的人才评价和引进提供新的方向和支持服务。
【Purpose / Significance】 To explore the application of node weight index in the co-author network in measuring the author’s influence. 【Method / Process】 This paper analyzes the indicators used to measure the influence of nodes in the co-author network, and improves the mixed centrality index of class h. Taking the core journals in computer field as an example, the author compares and analyzes the advantages and disadvantages of the weight index before and after the improvement on the author’s influence measure. 【Result】 The results showed that there was a certain difference between traditional horizons and traditional indicators in the selection of high-level authors, which could complement each other in the evaluation of authors. The improved class h hybrid centripetal index can comprehensively consider various factors to determine the weight of nodes and can better reflect the author’s influence. The selection of high-level authors from co-operative influence can provide new directions and support services for the evaluation and introduction of talent in relevant institutions.