Visual topical analysis of library and information science
Pin Li,
Guoli Yang and
Chuanqi Wang ()
Additional contact information
Pin Li: Nanjing University
Guoli Yang: Nanjing University
Chuanqi Wang: Nanjing University
Scientometrics, 2019, vol. 121, issue 3, No 25, 1753-1791
Abstract:
Abstract Using research papers of WoS database as the data source, the present paper adopts the method of Documents Co-citation Analysis, and employs the tool of CiteSpace to analyze the theme, evolution and research trend of Library and Information Science (LIS) research in the recent 30 years from 1989 to 2018. The findings demonstrate that (1) research on LIS develops along the path from the ordering of information to the digging and application of information value. And in this process, the factor of “people” and the network information resources have been receiving more and more attentions; (2) over the past 30 years, research on LIS has mainly focused on areas such as information retrieval, social media, information system, information behavior, bibliometrics and webometrics, scientific evaluation and knowledge management; and (3) in the future, LIS research will mainly focus on six theme areas: metrology research, open government, scientific evaluation, big data, social media and information system. These six areas are all significantly affected by social media.
Keywords: Library and Information Science; Documents Co-citation Analysis; Research evolution; Research focus; Research trend (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03239-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:121:y:2019:i:3:d:10.1007_s11192-019-03239-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-019-03239-0
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().