Trend analysis of co-authorship network in Library Hi Tech

Fei-Fei Cheng · Yuwen Huang · Derchian Tsaih · Chin-Shan Wu

18 citations0/0 files storedLibrary Hi Tech

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scientometrics and bibliometrics research Library Science and Information Psychology Research and Bibliometrics

Abstract

Purpose The purpose of this paper is to examine the evolution of collaboration among researchers in Library Hi Tech based on the co-authorship network analysis. Design/methodology/approach The Library Hi Tech publications were retrieved from Web of Science database between 2006 and 2017. Social network analysis based on co-authorship was analyzed by using BibExcel software and a visual knowledge map was generated by Pajek. Three important social capital indicators: degree centrality, closeness centrality and betweenness centrality were calculated to indicate the co-authorship. Cohesive subgroup analysis which includes components and k-core was then applied to show the connectivity of co-authorship network of Library Hi Tech. Findings The results indicated that around 42 percent of the articles were written by single author, while an increasing trend of multi-authored articles suggesting the collaboration among researchers in librarian research field becomes popular. Furthermore, the social network analysis identified authorship network with three core authors – Markey, K., Fourie, I. and Li, X. Finally, six core subgroups each included six or seven tightly connected researchers were also identified. Originality/value This study contributed to the existing literature by revealing the co-authorship network in librarian research field. Key researchers in the major subgroup were identified. This is one of the limited studies that describe the collaboration network among authors from different perspectives showing a more comprehensive co-authorship network.

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References

2004Coauthorship networks and patterns of scientific collaboration 2002Social network analysis: a powerful strategy, also for the information sciences 1989Social Structures: A Network Approach.2006Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis*2001Reflections on Scientific Collaboration (and its study): Past, Present, and Future 2002A Comparison of U.S. and European University-Industry Relations in the Life Sciences 2011Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures 2008International collaboration in science and the formation of a core group

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2019Academic social networks and collaboration patterns 2019Linked open data of bibliometric networks: analytics research for personalized library services 2019Social Networks and Graph Theory in the Search for Distant Knowledge 2021Media Literacy A Scientometric Study Based on Web of Science during 1989 2020 2023

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