根据作者的专业领域为其编制索引

IF 0.5 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Tehmina Amjad, Ali Daud
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引用次数: 21

摘要

衡量作者的影响力和生产力是一项重要但富有挑战性的任务。大多数现有的作者排名或索引方法都是基于简单的参数,如发表数量、引用数量及其组合。这些方法与主题无关,因此忽略了场内差异。这项研究引入了一种特定的方法来索引研究人员,以衡量他们在特定感兴趣领域的生产力,认为作者可以对多个领域感兴趣,并且可以在所有这些领域拥有不同水平的专业知识。本文提出了领域特定索引(DSI),这是一种根据作者感兴趣的领域对其进行索引的新方法。潜在狄利克雷分配(LDA)用于捕获文本语料库中的潜在主题。DSI通过考虑基于主题的引用而不是像传统方法那样使用整体引用来计算作者在他或她感兴趣的所有主题中的地位。一篇多作者论文收到的引文根据其在该特定领域的主题概率在所有合著者中进行划分。结果表明,如果对论文的所有合著者在该领域的兴趣水平进行加权,则该领域中更具体的作者将被列为顶级作者,而不是对论文的全部合著者一视同仁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indexing of authors according to their domain of expertise
Measuring the impact and productivity of an author is an important, yet a challenging task. Most of the existing methods for ranking or indexing of authors are based on simple parameters such as publication counts, citation counts and their combinations. These methods are topic independent, hence ignoring the intra-field differences. This study introduces a specific method for indexing of researchers to measure their productivity in a given field of interest, believing that an author can be interested in more than one fields and can have different level of expertise in all these fields. This paper proposes Domain Specific Index (DSI), a novel method for indexing of authors with respect to their fields of interest. Latent Dirichlet Allocation (LDA) is applied to capture the latent topics within text corpora. DSI calculates the standing of an author in all topics of his or her interest by considering topic based citations instead of using overall citations like traditional methods. The citations received by a multi-authored paper are divided among all its co-authors on the basis of their topic probability in that particular field. Results show that instead of giving credit of received citations equally to all co-authors of a paper, if a weight is given with respect to their level of interest in that field, more specific authors in that field will be ranked as top authors.
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来源期刊
Malaysian Journal of Library & Information Science
Malaysian Journal of Library & Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
2.00
自引率
7.70%
发文量
8
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