Citation Convergence of Academic Conference Papers

Agniv Adhikari, Abhik Mukherjee
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Abstract

Academic conferences are regularly held to disseminate knowledge amongst researchers in various disciplines. Due to mismatch of topics, impact of some papers is constrained. In this work, text mining algorithm has been designed to collate the citations of all papers presented in a conference series. Attempt is made to connect the papers on the basis of journals or conferences they refer to. A small subset of such knowledge repositories is thus found to span all the presented papers. A few papers remain disconnected from the giant component so formed, mainly due to improper out-of-context referencing. One case study covering a flagship international conference observed over six consecutive years is presented to demonstrate the method.
学术会议论文的引文聚合
定期举行学术会议,在不同学科的研究人员之间传播知识。由于主题不匹配,一些论文的影响受到限制。在这项工作中,文本挖掘算法被设计用于整理会议系列中所有论文的引文。试图根据论文所引用的期刊或会议来连接这些论文。这样的知识库的一个小子集因此被发现跨越所有提出的论文。一些论文仍然与如此形成的巨大组成部分脱节,主要是由于不适当的断章取义。一个案例研究涵盖了连续六年观察到的旗舰国际会议,以演示该方法。
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