[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: year 2, Issue 1 (9-2015) ::
CJS 2015, 2(1): 24-32 Back to browse issues page
Co-authorship network analysis of Iranian medical science researchers: A social network analysis
Faramarz Sohieli *, Mozafar Cheshme Sohrabi, Samira Atashpaykar
Department of Knowledge and Information Science, Payame Noor University, Tehran, Iran. , fsohieli@gmail.com
Abstract:   (18704 Views)

Background and aim: Co-authorship networks of scientists exhibit a pattern of developing and complicated networks. The aim of the present study was to analyze the power structure in co-authorship networks of Iranian medical science researchers based on centrality measures.

Material and methods: Social network analysis was used as the research method. The research population was all those researchers who have published articles in one of the seven journals of Iranian medical sciences indexed by ISI. Data were collected in two phases, first electronically access to the articles and second using a questioner to gather opinions of authors with centrality roles. Pearson correlation and regression were used to analyze the data.

Findings: The research finding showed that a significant correlation existed between centrality scores and productivity at P= 0.001. The findings from variance regression analysis revealed that researchers’ productivity variable was determined by factors such as degree, eigenvector and beta centrality. Most important criteria for selecting research teams from opinions of researcher with high centrality Scores are: the same proficiency, having dominant teams, having a necessary knowledge, political, cultural and scientific acceptance.

Conclusion: The results showed that co-authorship networks of Iranian medical journals had a low centrality and few connections existed among authors. In addition, authors with high centrality scores have a quick access to other authors and resources and they regarded as powerful authors.

Keywords: centrality, co-authorship, scientific collaboration, co-authorship networks, Iran medical science
Full-Text [PDF 825 kb]   (4930 Downloads)    
Type of Study: Orginal | Subject: Scientometrics
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

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

Sohieli F, Cheshme Sohrabi M, Atashpaykar S. Co-authorship network analysis of Iranian medical science researchers: A social network analysis. CJS. 2015; 2 (1) :24-32
URL: http://cjs.mubabol.ac.ir/article-1-71-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 2, Issue 1 (9-2015) Back to browse issues page
Caspian Journal of Scientometrics
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4419