论文标题
主题作为引用链接到高度引用的来源的群体：国际关系研究的案例
Topics as Clusters of Citation Links to Highly Cited Sources: The Case of Research on International Relations
论文作者
论文摘要
在亨利·斯莫尔（Henry Small）的共同引用分析方法中，高度引用的资料被视为研究方面的概念象征。但是，而不是共同引用的来源i聚集引文链接，这在书目计量研究中是主题上最小的异源元素。为了获得代表以概念为特征的主题的集群，我将链接聚类限制为引用链接到高度引用的来源。政治科学子领域（国际关系）与2006 - 2015年期间所引用的300个文章之间的引文联系集构建。它在与群集相对应的成本景观中找到了本地的最小值，这可以普遍地彼此重叠。获得的群集与网络的其余部分分开，但可以具有次优的内聚会。通过应用一种构建链接集中核心 - 外围结构的算法，可以找到主题的凝聚力核心。在这篇方法学论文中，我仅讨论了10年后半段的一些第一个聚类结果。
Following Henry Small in his approach to co-citation analysis, highly cited sources are seen as concept symbols of research fronts. But instead of co-cited sources I cluster citation links, which are the thematically least heterogenous elements in bibliometric studies. To obtain clusters representing topics characterised by concepts I restrict link clustering to citation links to highly cited sources. Clusters of citation links between papers in a political-science subfield (International Relations) and 300 of their sources most cited in the period 2006-2015 are constructed by a local memetic algorithm. It finds local minima in a cost landscape corresponding to clusters, which can overlap each other pervasively. The clusters obtained are well separated from the rest of the network but can have suboptimal cohesion. Cohesive cores of topics are found by applying an algorithm that constructs core-periphery structures in link sets. In this methodological paper I only discuss some first clustering results for the second half of the 10-years period.
