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

• Published in: 한국정보통신학회논문지 Vol. 21; no. 11; pp. 2089 - 2094
• Main Authors: Hyun-Chang Lee(이현창), Jiapei Li(이가배), Seong-Yoon Shin(신성윤)
• Format: Journal Article
• Language: English
• Published: 한국정보통신학회 01.11.2017
• Subjects: 전자/정보통신공학; Social Network Analysis; 공통어분석; 소셜네트워크 분석; Co-occurrence Network; 공발생 네트워크; Co-word Analysis; 알트메트릭스; Altmetrics
• ISSN: 2234-4772; 2288-4165
• DOI: 10.6109/jkiice.2017.21.11.2089

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. KCI Citation Count: 1