中心性测度在影响力分析中的应用：一个合著网络分析
Applying centrality measures to impact analysis: A coauthorship network analysis
摘要：
对合著网络的研究主要集中在网络拓扑结构和网络统计力学两个方面。本文通过研究微观层面的网络属性，采取了不同的方法，旨在将中心性措施应用于影响分析。利用图书馆学情报学领域16种期刊20年（1988-2007）的合著数据，构建了一个不断演化的合著网络，并计算了网络中作者的4个中心性测度（贴近度、介数、度和PageRank）。我们发现，四个中心性措施显着相关的引文计数。我们还讨论了作者排名的中心性措施的可用性，并建议，中心性措施可以是有用的影响力分析指标。
英文摘要：
Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties, with the aim to apply centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of twenty years (1988-2007), we construct an evolving coauthorship network and calculate four centrality measures (closeness, betweenness, degree and PageRank) for authors in this network. We find out that the four centrality measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking, and suggest that centrality measures can be useful indicators for impact analysis.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
