Volume 5, Issue 1 (6-2018)                   Human Information Interaction 2018, 5(1): 59-70 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hassanzadeh M, Ahmadi S, Zandian F. Discovering and Analyzing the Intellectual Structure and Its Evolution in Core Journals of "Knowledge and Information Science" during 2004-2013. Human Information Interaction 2018; 5 (1)
URL: http://hii.khu.ac.ir/article-1-2716-en.html
Abstract:   (3578 Views)
Purpose: This study aims to reveal the intellectual structure of Knowledge and Information Science and its evolution along with the review of journals subjective scope based on 6830 abstract in the ten core journal in the JCR 2013, over the ten years (2004-2013).
Methodology: In this research, co-word and Correspondence analysis of 150 words -selected by tf-idf weight- were done after parametric analysis. To this end, the Cosine theta index and the second-order affinity were used for the hierarchical clustering based on the average-linkage algorithm.
Findings: The results of the co-word analysis reveal 3 mature clusters and 1 immature cluster in relation to the second cluster. Furthermore, the study of journals' domain show four clusters and the time progress show two clusters in counterclockwise motion.
Conclusion: In general, the results show except cluster four all clusters have a stable state with conceptual maturity, and along with constant concepts, a conceptual metamorphosis can be seen under the influence of technological change.
 
Full-Text [PDF 2215 kb]   (1191 Downloads)    
Type of Study: Research | Subject: Special

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Human Information Interaction

Designed & Developed by : Yektaweb