Using Community Structure to Categorize Computer Science Conferences: Initial Results

Suhendry Effendy, R. Yap
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Abstract

Research in computer science (CS) is published mainly in conferences. We investigate the possibility of automatically categorizing CS conferences by using exemplars (influential conferences). We propose an automatic exemplars selection method. Our experiments show that categorizing by exemplars matches well with curated topic classification from the Chinese CCF conference list. The results also accord with manual judgement which show promise as a practical and robust method for categorizing CS conferences.
使用社区结构对计算机科学会议进行分类:初步结果
计算机科学(CS)的研究主要在会议上发表。我们通过使用范例(有影响力的会议)来研究CS会议自动分类的可能性。我们提出了一种自动样本选择方法。我们的实验表明,样本分类与中国CCF会议列表中的策划主题分类相匹配。结果与人工判断结果一致,表明人工判断是一种实用、稳健的会议分类方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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