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A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships

机译:根据合作关系的分布来衡量作者在共同作者网络中的中心地位

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摘要

Although there are many measures of centrality of individuals in social networks, and those centrality measures can be applied to the analysis of authors’ importance in co-authorship networks, the distribution of an author’s collaborative relationships among different communities has not been considered. This distribution or extensity is an important aspect of authors’ activity. In the present study, we will propose a new measure termed extensity centrality, taking into account the distribution of an author’s collaborative relationships. In computing the strength of collaborative ties, which is closely related to the extensity centrality, we choose Salton’s measure. We choose the ACM SIGKDD data as our testing data set, and analyze the result of authors’ importance from different points of view.
机译:尽管在社交网络中有许多针对个人的中心性度量,并且这些中心性度​​量可用于分析作者在共同作者网络中的重要性,但并未考虑作者在不同社区之间的协作关系的分布。这种分布或扩展是作者活动的重要方面。在本研究中,我们将考虑作者合作关系的分布情况,提出一种称为“延伸集中性”的新措施。在计算与扩展中心性密切相关的合作关系的强度时,我们选择Salton的量度。我们选择ACM SIGKDD数据作为测试数据集,并从不同的角度分析作者重要性的结果。

著录项

  • 来源
    《Scientometrics》 |2009年第2期|499-511|共13页
  • 作者

    Haiyang Lu; Yuqiang Feng;

  • 作者单位

    Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China;

    Department of Management Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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