Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis

2016 ◽  
Vol 10 (1) ◽  
pp. 132-150 ◽  
Author(s):  
Siluo Yang ◽  
Ruizhen Han ◽  
Dietmar Wolfram ◽  
Yuehua Zhao
Keyword(s):  
Information Science ◽  
Intellectual Structure ◽  
Coupling Analysis ◽  
Author Keyword

Intellectual structure of information science 2011–2020: an author co-citation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dangzhi Zhao ◽  
Andreas Strotmann
Keyword(s):  
Citation Analysis ◽  
Information Science ◽  
Research Evaluation ◽  
Information Behavior ◽  
Intellectual Structure ◽  
Knowledge Domain ◽  
Science Field ◽  
Content Type ◽  
History Of ◽  
Time Periods

PurposeThis study continues a long history of author co-citation analysis of the intellectual structure of information science into the time period of 2011–2020. It also examines changes in this structure from 2006–2010 through 2011–2015 to 2016–2020. Results will contribute to a better understanding of the information science research field.Design/methodology/approachThe well-established procedures and techniques for author co-citation analysis were followed. Full records of research articles in core information science journals published during 2011–2020 were retrieved and downloaded from the Web of Science database. About 150 most highly cited authors in each of the two five-year time periods were selected from this dataset to represent this field, and their co-citation counts were calculated. Each co-citation matrix was input into SPSS for factor analysis, and results were visualized in Pajek. Factors were interpreted as specialties and labeled upon an examination of articles written by authors who load primarily on each factor.FindingsThe two-camp structure of information science continued to be present clearly. Bibliometric indicators for research evaluation dominated the Knowledge Domain Analysis camp during both fivr-year time periods, whereas interactive information retrieval (IR) dominated the IR camp during 2011–2015 but shared dominance with information behavior during 2016–2020. Bridging between the two camps became increasingly weaker and was only provided by the scholarly communication specialty during 2016–2020. The IR systems specialty drifted further away from the IR camp. The information behavior specialty experienced a deep slump during 2011–2020 in its evolution process. Altmetrics grew to dominate the Webometrics specialty and brought it to a sharp increase during 2016–2020.Originality/valueAuthor co-citation analysis (ACA) is effective in revealing intellectual structures of research fields. Most related studies used term-based methods to identify individual research topics but did not examine the interrelationships between these topics or the overall structure of the field. The few studies that did discuss the overall structure paid little attention to the effect of changes to the source journals on the results. The present study does not have these problems and continues the long history of benchmark contributions to a better understanding of the information science field using ACA.

Who is who in library and information science research? The integrative application of scholarly influence indicators

2020 ◽  
Vol 52 (4) ◽  
pp. 1186-1196
Author(s):  
Reza Mokhtarpour ◽  
Ali Akbar Khasseh
Keyword(s):  
Information Science ◽  
Web Of Science ◽  
Science Research ◽  
Decision Makers ◽  
Intellectual Structure ◽  
Library And Information Science ◽  
Scientometric Indicators ◽  
Scholarly Influence

This research concerns determining authors’ scientific influence in library and information science research and their impact on the intellectual structure of the discipline by means of integrative indicators of the Scholarly Capital Model and co-authorship patterns. Research records comprised articles published from 1945 to 2016 in library and information science core journals and indexed in Web of Science. CiteSpace (software for visualization of scientific patterns and trends) was employed to map the intellectual structure of library and information science research based on co-authorship patterns. The results showed that the top 10 authors of library and information science research with the highest scores in terms of influence indicators (except for one person) were mostly concerned with the field of scientometrics which can be considered as the special impact of scientometric authors on the intellectual structure of library and information science research especially in recent years. Based on the results of the research, integrative use of scientometric indicators for measuring authors’ level of scholarly influence may grant a more precise perspective for decision makers in the field of library and information science.

Subject analysis of LIS data archived in a Figshare using co-occurrence analysis

2019 ◽  
Vol 43 (2) ◽  
pp. 256-264 ◽  
Author(s):  
Jane Cho
Keyword(s):  
Open Access ◽  
Data Science ◽  
Information Science ◽  
Scholarly Communication ◽  
Research Data ◽  
Intellectual Structure ◽  
Library And Information Science ◽  
Content Type ◽  
Subject Analysis ◽  
Interdisciplinary Field

Purpose Based on the data from Figshare repositories, the purpose of this paper is to analyze which research data are actively produced and shared in the interdisciplinary field of library and information science (LIS). Design/methodology/approach Co-occurrence analysis was performed on keywords assigned to research data in the field of LIS, which were archived in the Figshare repository. By analyzing the keyword network using the pathfinder algorithm, the study identifies key areas where data production is actively conducted in LIS, and examines how these results differ from the conventional intellectual structure of LIS based on co-citation or bibliographic coupling analysis. Findings Four major domains – Open Access, Scholarly Communication, Data Science and Informatics – and 15 sub-domains were created. The keywords with the highest global influence appeared as follows, in descending order: “open access,” “scholarly communication” and “altmetrics.” Originality/value This is the first study to understand the key areas that actively produce and utilize data in the LIS field.

scholarly journals The evolution of absorptive capacity in the scientific literature: a bibliometric analysis focused on innovation

2021 ◽  
Vol 20 (1) ◽  
pp. e18752
Author(s):  
Tainá Alves Townsend ◽  
Cristiane Drebes Pedron ◽  
Marcos Rogério Mazzieri
Keyword(s):  
Network Analysis ◽  
Absorptive Capacity ◽  
Web Of Science ◽  
Scientific Literature ◽  
Scientific Production ◽  
Intellectual Structure ◽  
Research Gaps ◽  
Coupling Analysis ◽  
Future Studies ◽  
Insight Into

Objective of the study: This study aims to analyze scientific production about absorptive capacity and innovation in such a way as to make it possible to identify study trends and the theoretical bases on which they are based.Methodology / Approach: We performed bibliographic coupling, co-citation, and social network analysis on a sample of 3,698 articles, considering 2,778 articles from Web of Science and 920 articles from Scopus.Originality / Relevance: In a preliminary search, only two bibliometric works were identified that focused on absorptive capacity and innovation. However, since 2015, more than 1,500 articles have been published, with new perspectives, advancing studies on this topic.Main results: The coupling analysis resulted in six factors showing the trends of future studies. The co-citation analysis presented three factors, representing the intellectual structure arising from the coupling analysis. The network analysis provided insight into how these studies connect. The results point to trends in future studies that can fill the research gaps on absorptive capacity and innovation. In addition, we also indicate the theoretical fronts that can be used to explore these trends. Finally, we present a model that summarizes our findings and shows how they can contribute to the advancement of research based on the seminal model of Zahra and George (2002).Theoretical / Methodological contributions: We present a mapping of the theme that provides a clearer view of which seminal works are used to approach each theme to be explored in future studies, associating the results of the bibliometric techniques used.

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