Establishing and Analyzing the Pattern of Relationships in Co-authorship Networks: the Case Study of Scientific Productions of Researchers at Kerman University of Medical Sciences

Authors

safieh tahmasebi limoni, islamic azad university of babolFollow
Oranus Tajedini, Shahid Bahonar University of Kerman, Kerman, Iran.Follow
Ali Sadatmoosavi, Kerman University of Medical Sciences, Kerman, IranFollow

Date of this Version

Winter 1-7-2018

Document Type

Article

Citation

References

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Comments

Ali Sadatmoosavi is corresponding Author

Abstract

Abstract:

Introduction: The purpose of this research is to evaluate the co-authorship network of researchers of Kerman University of Medical Sciences. This assessment includes a look at the co-authorship, patterns of co-writing, researchers' outputs, authors ranking, map drawing of the co-authorship network, comparing the network of co-writing of the medical field with other domains, main component and key researchers, review The fit of the network of the co-writing of medical researchers with the small world theory, as well as person-centered indicators such as degree centrality, between centrality, closeness centrality Eigenvector, vector centrality, beta centrality, and interstitial centrality. Method: This research was carried out using scientific methods and network analysis techniques. The statistical population of this research is all articles of the faculty members and other researchers of Kerman University of Medical Sciences, indexed at the ISI database (the Science of Science Web site) during the period from 1978 to 2015, which consists of 1710 articles. The data were analyzed by Bibexcel, Histcite and Net drive softwares after pre-processing. Findings: The review of the articles showed that the pattern of four and five writers had the highest percentage of the co-written articles. The co-authorship network of this university is lower un an index such as the number of papers for each author from many other areas, and in the index of authors for each article is higher than most of the areas. The density index of this network is 0/003, its clustering coefficient is 0/64 and the percentage of the co-written articles in companion with the single-written articles is 97%. The researchers of this university have a high degree of collaboration in writing their articles, Iran University of Medical Sciences , Shahid Bahonar Kerman University and Shahid Beheshti University of Medical Sciences, and the United States, Australia and England have the most scientific cooperation with Kerman University of Medical Sciences. Studies show that most of the articles published at Kerman University of Medical Sciences have been produced by a small number of researchers of this university, and the ratio of national-to-international collaboration at this university has been. 2/9. Conclusion: The co-authorship network of the researchers of this university is characterized by the average length trajectory and relatively high clustering coefficient, which is a small world network. The study of the distribution of the degree centrality of the central and key researchers of the network shows that the principle of "success breeds success", which was proposed by Age and Rousseau in 1996, is also valid in the surveyed network, and the researchers with high centrality play a very important role in the development and The evolution of co-writing networks