The Co-word Analysis of Papers Extracted from the Information Science and Knowledge Studies Master Theses

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HAZERI A.; MAKKIZADEH F.; Beyk Khormizi f.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Scientometrics Research Journal Year:2017 | Volume:2 | Issue:2 (4) Page(s): 49-62

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Title

The Co-word Analysis of Papers Extracted from the Information Science and Knowledge Studies Master Theses

Author(s)

HAZERI A. | MAKKIZADEH F. | Beyk Khormizi f. | Issue Writer Certificate

Keywords

ThesesQ2

Information Science and Knowledge StudiesQ1

Subject networksQ1

Co-word analysisQ2

Knowledge mappingQ2

Abstract

Purpose: The aim of this research was Co-word analysis of papers extracted from the Information Science and Knowledge Studies master Theses. Methodology: This research is an applied work conducted by co-words analysis approach of scientometrics. For this purpose, the data of 1237 master Theses were collected from two online catalogs and IRANDOC databases. In addition, 508 papers extracted from these Theses were found on Magiran and Noormags databases, which 1428 keywords were then extracted from them. Through data processing, the number of keywords was reduced to 124. Data analysis was conducted using Ravar Matrix, Ucinet and NetDraw software packages. Findings: Thematic mapping of the keywords using co-words analysis technique indicates that the topics internet, Webometrics and information storage and retrieval had top ranking in degree-centrality and betweenness indicators. In addition, the topics locating libraries, selective dissemination of information and education had the highest impact on the network in terms of closeness centrality. Conclusion: Mapping the knowledge structure of papers extracted from master Theses could help to represent and visualize the thematic structure of research in the field of Information Science and Knowledge Studies and identify more specific research focuses within this field.

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APA: Copy

HAZERI, A., MAKKIZADEH, F., & Beyk Khormizi, f.. (2017). The Co-word Analysis of Papers Extracted from the Information Science and Knowledge Studies Master Theses. SCIENTOMETRICS RESEARCH JOURNAL, 2(2 (4) ), 49-62. SID. https://sid.ir/paper/259791/en

Vancouver: Copy

HAZERI A., MAKKIZADEH F., Beyk Khormizi f.. The Co-word Analysis of Papers Extracted from the Information Science and Knowledge Studies Master Theses. SCIENTOMETRICS RESEARCH JOURNAL[Internet]. 2017;2(2 (4) ):49-62. Available from: https://sid.ir/paper/259791/en

IEEE: Copy

A. HAZERI, F. MAKKIZADEH, and f. Beyk Khormizi, “The Co-word Analysis of Papers Extracted from the Information Science and Knowledge Studies Master Theses,” SCIENTOMETRICS RESEARCH JOURNAL, vol. 2, no. 2 (4) , pp. 49–62, 2017, [Online]. Available: https://sid.ir/paper/259791/en

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