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Networking, clustering and brokering keywords in the computer science research

机译:计算机科学研究中的网络,聚类和经纪关键词

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Keywords of academic papers are jargons shared within a research domain as well as a summary of the contents. However, the increasing popularity of the interdisciplinary research in academia in recent years opened a possibility that the choice of keywords would be no longer confined by the traditional domain boundaries. In order to investigate the evolutionary trends of keyword-sharing groups in academic publications, we applied three types of Social Network Analysis methods on the papers in the Computer Science domain collected from the Libra database. Particularly, papers published in 5 different time periods from 1970 to 2010 were targeted to show the change of keyword networks over time. The analysis results confirmed the increasing tendency in the keyword network to be absorbed by one big agglomerated cluster over time. As a result, the gatekeeper- or liaison keywords seldom exist in later times but coordinator keywords became majority.
机译:学术论文的关键词是研究领域内共享的术语以及内容的摘要。 然而,近年来学术界跨学科研究的越来越多的普及开辟了关键字的选择不再被传统的畴边界所限制。 为了调查学术出版物中关键字共享组的进化趋势,我们在从天秤座数据库收集的计算机科学域中的论文中应用了三种类型的社交网络分析方法。 特别是,在1970年至2010年的5个不同时间段发布的论文被瞄准随着时间的推移来展示关键字网络的变化。 分析结果证实了关键词网络中的趋势越来越高,随着时间的推移被一个大凝聚的聚类吸收。 结果,在后面的时间内很少存在网守或联络关键字,但协调员关键词变得多数。

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