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http://dx.doi.org/10.6109/jkiice.2017.21.11.2089

Development Tendency of Altmetrics Research: Using Social Network Analysis and Co-word Analysis  

Lee, Hyun-Chang (Department of Digital Content Engineering, Wonkwang University)
Li, Jiapei (Department of Library Information Consulting, Hebei Geology University)
Shin, Seong-Yoon (School of Computer Inf. & Comm., Kunsan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.11, 2017 , pp. 2089-2094 More about this Journal
Abstract
Altmetrics is the measurement index and quantitative data to complement the traditional indicators based on the citation. Altmetrics research has acquired greater importance in the past few years, partly due to the complement to the traditional bibliometrics. This paper aims to reveal the research status and trends in altmetrics research. A total of 187 articles from 2005 to 2017 are obtained and analyzed, illustrating a steady rise (S-mode) in altmetrics research since 2005. Using social network analysis and co-word analysis, the author cooperation network and keyword co-occurrence network are developed. The core scientists and eight international research groups are discovered, reflecting that researchers in this field have a low degree of cooperation. Four topics of altmetrics research are discovered by hierarchical clustering. The results can be useful for the advanced research of altmetrics.
Keywords
Altmetrics; Social Network Analysis; Co-word Analysis; Co-occurrence Network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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