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| 1 | Measuring author influence in scientific collaboration networks显示文摘Purpose:The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes.In the meanwhile,we intend to explore a method to avoid assigning subjective weights.Design/methodology/approach:We applied four centrality measures(degree centrality,betweenness centrality,closeness centrality and eigenvector centrality)and authors’published papers to the scientific collaboration network.The grey relational analysis(GRA)method based on information entropy was used to measure an author’s impact in the collaboration network.The weight of each evaluation index was determined based on information entropy.The ACM SIGKDD collaboration network was selected as an example to demonstrate the practicality and effectiveness of our method.Findings:Author influence was not always positively correlated with evaluation indexes such as degree centrality and betweenness centrality.This implies that combined effects of multiple indexes should be considered in author impact analysis.The introduction of the GRA method based on information entropy can reduce the interference of human factors in the evaluation process.Research limitations:We only analyzed author influence from the perspective of scientific collaboration,but the impact of citation on author influence was ignored.Practical implications:The proposed method can be also applied to detect influential authors in bibliographic co-citation network,author co-citation network,bibliographic coupling network or author coupling network.It would help facilitate scientific collaboration and enhance scholarly communication.Originality/value:This paper proposes an analytical method of evaluating author influence in scientific collaboration networks,in which combined effects of multiple indexes are considered and the interference of human factors is reduced in the evaluation process. | Weijing CHEN Ying ZHENG | 2013 | Chinese Journal of Library and Information Science2013，，4： | 0 |
| 2 | 社会网络理论在人力资源管理中的应用研究显示文摘企业都是由不同的部门或组织构成,部门或组织之间有着各种联系,并构成了正式的关系网络,这个关系网络是可以明确地用制度、权力加以控制的。除了非正式的关系网络,企业员工之间有着非正式网络——人际关系网络,它也是企业的社会资本,人员流动会影响企业中的人际关系,进而影响着企业的效益。因此我们需要利用社会网络理论知识,有效利用企业中的非正式网络,通过人际关系管理和员工关系管理来提升人力资源管理的价值。 | 戴怡清 | 2015 | 智富时代2015，0，8X： | 0 |
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