Mapping knowledge structure by keyword co-occurrence and social network analysis. Evidence from Library Hi Tech between 2006 and 2017

DOIhttps://doi.org/10.1108/LHT-01-2018-0004
Date19 November 2018
Published date19 November 2018
Pages636-650
AuthorFei-Fei Cheng,Yu-Wen Huang,Hsin-Chun Yu,Chin-Shan Wu
Subject MatterLibrary & information science,Librarianship/library management,Library technology,Information behaviour & retrieval,Information user studies,Metadata,Information & knowledge management,Information & communications technology,Internet
Mapping knowledge structure by
keyword co-occurrence and social
network analysis
Evidence from Library Hi Tech between
2006 and 2017
Fei-Fei Cheng
Institute of Technology Management, National Chung Hsing University,
Taichung, Taiwan
Yu-Wen Huang
Department of Information Management, National Chung Cheng University,
Chiayi, Taiwan, and
Hsin-Chun Yu and Chin-Shan Wu
Department of Information Management, Tunghai University, Taichung, Taiwan
Abstract
Purpose The purpose of this paper is to present the knowledge structure based on the articles published in
Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and
social network analysis.
Design/methodology/approach Data sets based on publications from Library Hi Tech covering the time
period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the
CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with
knowledge discovery in bibliographic databases.
Findings The findings suggested that the percentage of publications in the USA, Germany, China, and
Canada are high. Further, the most popular keywords identified in Library Hi Tech were: service,
technology,”“digital library,”“university library,and academic library.Finally, four research issues were
identified based on the most-cited articles in Library Hi Tech.
Originality/value While keyword plays an important role in scientific research, limited studies paid
attention to the keyword analysis in librarian research. The contribution of this study is to systematically
explore the knowledge structure constructed by the keywords in Library Hi Tech.
Keywords Social network, CiteSpace, Research hotspots, Keyword co-occurrence, Knowledge graph,
Library Hi Tech
Paper type Research paper
1. Introduction
Library Hi Tech is a well-known journal in librarian research field. With a long history of more
than 30 years, the journal published up-to-date articles regarding technology-assisted information
systems that support libraries and cultural memory, education and the academy, health and
medicine, and government and citizenship issues and is the pioneer in the library domain.
Important research topics and issues were discussed by author networks of Library Hi Tech,
contributing to the development of information technologies in library-relevant research fields.
This paper aimed at presenting the knowledge structure of Library Hi Tech research
fronts in last decades. In total, 522 journal articles published in Library Hi Tech covering the
time period from 2006 to 2017 were extracted from Web of Science (WOS) and developed as
testbeds for evaluation. The Library Hi Tech was first published in 1984, while the data
collected in study were restricted to 2006-2017 which covered all the Library Hi Tech articles
included in the WOS database. Highly cited keywords were analyzed by CiteSpace which
Library Hi Tech
Vol. 36 No. 4, 2018
pp. 636-650
© Emerald PublishingLimited
0737-8831
DOI 10.1108/LHT-01-2018-0004
Received 9 January 2018
Revised 13 March 2018
Accepted 23 March 2018
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0737-8831.htm
636
LHT
36,4

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