Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis

Considering the increasing importance and gradual development of research on collaborative information behavior (CIB), this study aims to investigate the current intellectual structure of knowledge on this topic, providing researchers with a basis for its future direction and development. Hence, co-...

Full description

Saved in:
Bibliographic Details
Main Author: Nilofar Barahmand
Format: Article
Language:English
Published: Regional Information Center for Science and Technology (RICeST) 2025-07-01
Series:International Journal of Information Science and Management
Subjects:
Online Access:https://ijism.isc.ac/article_725129_0a379dd10f8aa39e40a2fda12b104be7.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1839636241236099072
author Nilofar Barahmand
author_facet Nilofar Barahmand
author_sort Nilofar Barahmand
collection DOAJ
description Considering the increasing importance and gradual development of research on collaborative information behavior (CIB), this study aims to investigate the current intellectual structure of knowledge on this topic, providing researchers with a basis for its future direction and development. Hence, co-word analysis was conducted on documents from Web of Science and Scopus. The network structure of the most frequent keywords was visualized using VOSviewer software. A hierarchical clustering algorithm was used to form the square matrix comprising frequently repeated keywords. To do so, SPSS software, Ward’s method, and Squared Euclidean distance method were employed, and clusters and co-word dendrogram of keywords were drawn. Furthermore, network characteristics of the co-word matrix, including centrality and density, were analyzed using UCINET software. Accordingly, quadrant and coefficient matrices were created for each cluster, centrality and density were calculated, and a strategic diagram was eventually drawn. The study comprised 316 documents published between 1992 and 2023. The most frequent keyword was "Collaborative information," and the most common co-word pair was "Collaborative Information**Information Use." Nine clusters emerged, encompassing topics such as computer-supported cooperative work, collaborative searching, system design, professional contexts, social Q&A, and collaborative learning. However, these clusters were largely undeveloped, marginal, and immature, reflecting the field's relative youth, unstable terminology, and secondary treatment in research. The findings underscore the need for further research on CIB as a central topic of the study to deepen our understanding of its diverse aspects.
format Article
id doaj-art-dc6b1a2cf0894e17bd678ec213c1e7d3
institution Matheson Library
issn 2008-8302
2008-8310
language English
publishDate 2025-07-01
publisher Regional Information Center for Science and Technology (RICeST)
record_format Article
series International Journal of Information Science and Management
spelling doaj-art-dc6b1a2cf0894e17bd678ec213c1e7d32025-07-08T06:38:07ZengRegional Information Center for Science and Technology (RICeST)International Journal of Information Science and Management2008-83022008-83102025-07-0123315517010.22034/ijism.2025.2041963.1603725129Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word AnalysisNilofar Barahmand0Ph. D. in Knowledge and Information Science, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, IranConsidering the increasing importance and gradual development of research on collaborative information behavior (CIB), this study aims to investigate the current intellectual structure of knowledge on this topic, providing researchers with a basis for its future direction and development. Hence, co-word analysis was conducted on documents from Web of Science and Scopus. The network structure of the most frequent keywords was visualized using VOSviewer software. A hierarchical clustering algorithm was used to form the square matrix comprising frequently repeated keywords. To do so, SPSS software, Ward’s method, and Squared Euclidean distance method were employed, and clusters and co-word dendrogram of keywords were drawn. Furthermore, network characteristics of the co-word matrix, including centrality and density, were analyzed using UCINET software. Accordingly, quadrant and coefficient matrices were created for each cluster, centrality and density were calculated, and a strategic diagram was eventually drawn. The study comprised 316 documents published between 1992 and 2023. The most frequent keyword was "Collaborative information," and the most common co-word pair was "Collaborative Information**Information Use." Nine clusters emerged, encompassing topics such as computer-supported cooperative work, collaborative searching, system design, professional contexts, social Q&A, and collaborative learning. However, these clusters were largely undeveloped, marginal, and immature, reflecting the field's relative youth, unstable terminology, and secondary treatment in research. The findings underscore the need for further research on CIB as a central topic of the study to deepen our understanding of its diverse aspects.https://ijism.isc.ac/article_725129_0a379dd10f8aa39e40a2fda12b104be7.pdfcollaborative information behaviorcibintellectual structureknowledgebibliometricsco-word analysisstrategic diagram
spellingShingle Nilofar Barahmand
Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
International Journal of Information Science and Management
collaborative information behavior
cib
intellectual structure
knowledge
bibliometrics
co-word analysis
strategic diagram
title Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
title_full Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
title_fullStr Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
title_full_unstemmed Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
title_short Intellectual Structure of Knowledge in Collaborative Information Behavior: A Co-Word Analysis
title_sort intellectual structure of knowledge in collaborative information behavior a co word analysis
topic collaborative information behavior
cib
intellectual structure
knowledge
bibliometrics
co-word analysis
strategic diagram
url https://ijism.isc.ac/article_725129_0a379dd10f8aa39e40a2fda12b104be7.pdf
work_keys_str_mv AT nilofarbarahmand intellectualstructureofknowledgeincollaborativeinformationbehavioracowordanalysis