Scientific Quality Towards Specific Topics

Hao Wu, Yijian Pei
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Abstract

The studies of citations are comprehensively carried out with the increasing electronically citation data on the Web. Most of the metrics observe scientific quality in a global view instead of in multiple fine-grained views. In this paper, we suggest to apply Topic Model and adaptive PageRank algorithm to assess the relative importance of scientific objects including articles, authors, conferences and journals. The scientific quality is measured by an aggregation PageRank metric towards some topics. This metric considers the impact of a paper both in global view and local view. The experiments on ACL Anthology bibliographic corpus show our method is a useful measure to observe scientific quality on multi-views. KeywordsPageRank; Topic Model; Citation Analysis
面向特定主题的科学素质
随着网络上电子引文数据的不断增加,对引文的研究正在全面展开。大多数度量在全局视图中观察科学质量,而不是在多个细粒度视图中。在本文中,我们建议应用主题模型和自适应PageRank算法来评估科学对象的相对重要性,包括文章、作者、会议和期刊。科学质量是通过对某些主题的聚合PageRank度量来衡量的。这个指标考虑了一篇论文在全球和局部两方面的影响。在ACL文集书目语料上的实验表明,该方法是一种多角度观察科学质量的有效方法。KeywordsPageRank;主题模型;引文分析
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