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首页> 外文期刊>International Journal of Business Intelligence and Data Mining >Effective discovery of missing links in citation networks using citation relevancy check process
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Effective discovery of missing links in citation networks using citation relevancy check process

机译:使用引用相关性检查过程有效发现引用网络中的缺失链接

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摘要

Effective dissemination of knowledge published by eminent authors in reputed journals and ensuring that the referred work is cited properly is the need of the hour. Citation analysis is about the similarity measures of articles or journals which are put forward to scaling as well as clustering procedures. A proper citation relevancy check (CRC) is required to avoid the missing links in the citation networks. Both similar and dissimilar references in the articles have important article citations. The purpose of this work is devise a method to find the most significant articles which can provide useful information to the journal editors and writers. The strategy presented in this paper can assist an author to incorporate most important articles and can help the editor in evaluating the quality of the references. The main benefit in detecting the missing articles is improvement in quality of research along with increased citation count.
机译:有效地传播知名作者在知名期刊上发表的知识,并确保小时内需要正确引用被引用的著作。引用分析是关于文章或期刊的相似性度量,这些度量或度量被提出来进行缩放以及聚类程序。需要进行适当的引用相关性检查(CRC),以避免引用网络中缺少链接。文章中相似和不相似的参考文献均引用了重要的文章。这项工作的目的是设计一种找到最重要文章的方法,这些文章可以为期刊编辑和作家提供有用的信息。本文提出的策略可以帮助作者纳入最重要的文章,并可以帮助编辑者评估参考文献的质量。检测丢失的文章的主要好处是可以提高研究质量,并增加引用次数。

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