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Analyzing Citation-Distance Networks for Evaluating Publication Impact

Herrmannova, Drahomira; Knoth, Petr and Patton, Robert (2018). Analyzing Citation-Distance Networks for Evaluating Publication Impact. In: 11th edition of the Language Resources and Evaluation Conference, May 7 2018 - May 12 2018, Miyazaki, Japan.

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Studying citation patterns of scholarly articles has been of interest to many researchers from various disciplines. While the relationship of citations and scientific impact has been widely studied in the literature, in this paper we develop the idea of analyzing the semantic distance of scholarly articles in a citation network (citation-distance network) to uncover patterns that reflect scientific impact. More specifically, we compare two types of publications in terms of their citation-distance patterns, seminal publications and literature reviews, and focus on their referencing patterns as well as on publications which cite them. We show that seminal publications are associated with a larger semantic distance, measured using the content of the articles, between their references and the citing publications, while literature reviews tend to cite publications from a wider range of topics. Our motivation is to understand and utilize this information to create new research evaluation metrics which would better reflect scientific impact.

Item Type: Conference or Workshop Item
Keywords: citation networks; publication impact; semantic similarity; semantometrics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Big Scientific Data and Text Analytics Group (BSDTAG)
Item ID: 53638
Depositing User: Petr Knoth
Date Deposited: 27 Feb 2018 12:43
Last Modified: 17 Jul 2019 01:51
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