VISUALIZATION AND ANALYSIS OF THE CO-AUTHORSHIP NETWORK OF ARTICLES OF NATIONAL CONGRESS ON “FAMILY PATHOLOGY” USING SOCIAL NETWORK ANALYSIS INDICATORS

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.

ASNAFI A.R.; HOSSEINI E.; AMAYEH S.

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

Journal Paper

Paper Information

Journal: Journal of Family Research Year:2017 | Volume:13 | Issue:50 Page(s): 319-333

Download Full-Text

Persian Verion

View:

1,032

Download:

Cites:

Information Journal Paper

Title

VISUALIZATION AND ANALYSIS OF THE CO-AUTHORSHIP NETWORK OF ARTICLES OF NATIONAL CONGRESS ON “FAMILY PATHOLOGY” USING SOCIAL NETWORK ANALYSIS INDICATORS

Author(s)

ASNAFI A.R. | HOSSEINI E. | AMAYEH S. | Issue Writer Certificate

Keywords

CO-AUTHORSHIP NETWORKQ1

SCIENTOMETRICSQ2

SOCIAL NETWORK ANALYSIS (SNA)Q1

DENSITYQ1

FAMILY PATHOLOGYQ1

Abstract

The present paper aims to visualize and analyze the CO-AUTHORSHIP NETWORK of articles of national congress on FAMILY PATHOLOGY using social network analysis (SNA) indicators. The present paper employed the descriptive research method with SCIENTOMETRICS approach and analyzed social network by micro and macro indicators. UCINET software was used to visualize and analyze the CO-AUTHORSHIP NETWORK, and VOS viewer software was utilized to visualize a DENSITY network of the co-authorship.The 6th congress includes the most articles and the 5th includes the least papers. Dual and triple patterns of co-authorship are assigned as the most common patterns in the studied network. However, the most applied authorship pattern during the 6th hold congresses was the collaborative coauthor ship pattern. The network has low consistency and contains many isolated nodes. “Sadeghi”, “Mazaheri”, “Dehghani”, “Zardamvi” and “Yaryari” are conside-red as social capitals of the network due to their high centrality and collaboration degree.

Cites

No record.

References

No record.

Cite

APA: Copy

ASNAFI, A.R., HOSSEINI, E., & AMAYEH, S.. (2017). VISUALIZATION AND ANALYSIS OF THE CO-AUTHORSHIP NETWORK OF ARTICLES OF NATIONAL CONGRESS ON “FAMILY PATHOLOGY” USING SOCIAL NETWORK ANALYSIS INDICATORS. JOURNAL OF FAMILY RESEARCH, 13(50 ), 319-333. SID. https://sid.ir/paper/122462/en

Vancouver: Copy

ASNAFI A.R., HOSSEINI E., AMAYEH S.. VISUALIZATION AND ANALYSIS OF THE CO-AUTHORSHIP NETWORK OF ARTICLES OF NATIONAL CONGRESS ON “FAMILY PATHOLOGY” USING SOCIAL NETWORK ANALYSIS INDICATORS. JOURNAL OF FAMILY RESEARCH[Internet]. 2017;13(50 ):319-333. Available from: https://sid.ir/paper/122462/en

IEEE: Copy

A.R. ASNAFI, E. HOSSEINI, and S. AMAYEH, “VISUALIZATION AND ANALYSIS OF THE CO-AUTHORSHIP NETWORK OF ARTICLES OF NATIONAL CONGRESS ON “FAMILY PATHOLOGY” USING SOCIAL NETWORK ANALYSIS INDICATORS,” JOURNAL OF FAMILY RESEARCH, vol. 13, no. 50 , pp. 319–333, 2017, [Online]. Available: https://sid.ir/paper/122462/en

Related Journal Papers