CO-AUTHORSHIP NETWORK ANALYSIS OF IRANIAN MEDICAL SCIENCE RESEARCHERS: A SOCIAL NETWORK ANALYSIS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SOHEILI F.; CHESHME SOHRABI M.; ATASHPAYKAR S.

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

Journal Paper

Paper Information

Journal: CASPIAN JOURNAL OF SCIENTOMETRICS Year:2015 | Volume:2 | Issue:1 Page(s): 24-32

Download Full-Text

Persian Verion

View:

1,216

Download:

Cites:

Information Journal Paper

Title

CO-AUTHORSHIP NETWORK ANALYSIS OF IRANIAN MEDICAL SCIENCE RESEARCHERS: A SOCIAL NETWORK ANALYSIS

Author(s)

SOHEILI F. | CHESHME SOHRABI M. | ATASHPAYKAR S. | Issue Writer Certificate

Keywords

CENTRALITYQ2

CO-AUTHORSHIPQ1

SCIENTIFIC COLLABORATIONQ2

CO-AUTHORSHIP NETWORKSQ2

IRAN MEDICAL SCIENCEQ2

Abstract

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.

Cites

No record.

References

No record.

Cite

APA: Copy

SOHEILI, F., CHESHME SOHRABI, M., & ATASHPAYKAR, S.. (2015). CO-AUTHORSHIP NETWORK ANALYSIS OF IRANIAN MEDICAL SCIENCE RESEARCHERS: A SOCIAL NETWORK ANALYSIS. CASPIAN JOURNAL OF SCIENTOMETRICS, 2(1 ), 24-32. SID. https://sid.ir/paper/254292/en

Vancouver: Copy

SOHEILI F., CHESHME SOHRABI M., ATASHPAYKAR S.. CO-AUTHORSHIP NETWORK ANALYSIS OF IRANIAN MEDICAL SCIENCE RESEARCHERS: A SOCIAL NETWORK ANALYSIS. CASPIAN JOURNAL OF SCIENTOMETRICS[Internet]. 2015;2(1 ):24-32. Available from: https://sid.ir/paper/254292/en

IEEE: Copy

F. SOHEILI, M. CHESHME SOHRABI, and S. ATASHPAYKAR, “CO-AUTHORSHIP NETWORK ANALYSIS OF IRANIAN MEDICAL SCIENCE RESEARCHERS: A SOCIAL NETWORK ANALYSIS,” CASPIAN JOURNAL OF SCIENTOMETRICS, vol. 2, no. 1 , pp. 24–32, 2015, [Online]. Available: https://sid.ir/paper/254292/en

Related Journal Papers