Visualization and Analysis of Coauthorship Networks of Shahid Beheshti University Researchers in Humanities, Social Sciences and Art

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ARSHADI H.; ERFANMANESH M.A.; SALEMI N.

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:3 | Issue:1 (5) Page(s): 48-70

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Information Journal Paper

Title

Visualization and Analysis of Coauthorship Networks of Shahid Beheshti University Researchers in Humanities, Social Sciences and Art

Author(s)

ARSHADI H. | ERFANMANESH M.A. | SALEMI N. | Issue Writer Certificate

Keywords

Social network analysisQ2

Co-authorship networkQ1

Shahid Beheshti UniversityQ2

Micro-level metricsQ1

Macro-level metricsQ1

Abstract

Purpose: Co-authorship is an important indicator and the most common measure of formal scientific collaboration. A series of collaborative publications create a social network which can be studied in order to understand the network characteristics. The current research aims to visualize and analyse the Co-authorship network of documents published by researchers affiliated to Shahid Beheshti University in humanities, social sciences and art. Methodology: This study is an applied research in which scientometric and Social network analysis of the data has been performed. A total of 282 articles in the area of social sciences, humanities and art which specified Shahid Beheshti University as their affiliated institution and indexed by the Thomson Reuters until the 1 March 2014, were selected as the population of study. Microsoft Excel, UCINet and VOSViewer software were utilized for data analysis. Overall structure of the network was investigated using a few Macro-level metrics. Additionally, Micro-level metrics were adopted to analyze the performance and status of researchers in the network. Findings: Macro-level metrics shows that the Co-authorship network of Shahid Beheshti University researchers has low cohesion. According to the findings, the most important and prolific authors in terms of both productivity and centrality measures are: Hamidreza Pouretemad, Vahid Nejati, Mohsen Dehghani, Mohammad Ali Mazaheri, Mojtaba Zarei. Styding the coauthorship network of institutions, the top spots are taken by the Shahid Beheshti University of Medical Sciences, Tehran University of Medical Sciences, Tehran University, Tarbiat Modares University and Baghiatallah University of Medical Science (BMSU). Conclusion: The short mean distant (4. 347) coupled with high clustering coefficient (0. 779) indicates that the network seems to exhibit “ small world” network properties.

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APA: Copy

ARSHADI, H., ERFANMANESH, M.A., & SALEMI, N.. (2017). Visualization and Analysis of Coauthorship Networks of Shahid Beheshti University Researchers in Humanities, Social Sciences and Art. SCIENTOMETRICS RESEARCH JOURNAL, 3(1 (5) ), 48-70. SID. https://sid.ir/paper/259821/en

Vancouver: Copy

ARSHADI H., ERFANMANESH M.A., SALEMI N.. Visualization and Analysis of Coauthorship Networks of Shahid Beheshti University Researchers in Humanities, Social Sciences and Art. SCIENTOMETRICS RESEARCH JOURNAL[Internet]. 2017;3(1 (5) ):48-70. Available from: https://sid.ir/paper/259821/en

IEEE: Copy

H. ARSHADI, M.A. ERFANMANESH, and N. SALEMI, “Visualization and Analysis of Coauthorship Networks of Shahid Beheshti University Researchers in Humanities, Social Sciences and Art,” SCIENTOMETRICS RESEARCH JOURNAL, vol. 3, no. 1 (5) , pp. 48–70, 2017, [Online]. Available: https://sid.ir/paper/259821/en

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