|
Drawing and analyzing the world's scientific collaboration network in the field of crisis management
|
Farideh Osareh    , Zeinab Mohammadi * , Somayeh Fazeli |
| PhD student in Knowledge and Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran , z-mohammadi@stu.scu.ac.ir |
|
|
Abstract: (3740 Views) |
Background and aim: The aim of this study was to draw and analyze the world's scientific collaboration in the field of crisis management based on data retrieved from the Web of Science (WoS).
Materials and methods: This applied and descriptive study was conducted using a scientometric approach. The study population was 2485 records of scientific outputs in the field of crisis management indexed in the WoS from 2010 to 2020. The data were analyzed using VOS viewer, UCINET and NetDraw packages as special software for social network analysis. Moreover, the scientific outputs in the field of crisis management at micro- and macro-level indicators were used to draw and analyze the co-authorship network.
Findings: The findings of the present study showed that 79 countries, 5690 authors and 2495 scientific and academic institutes participated in the production of these works. The United States, China and Germany had more scientific outputs. Moreover, "Ha KM", "Benaben F", and "Mcmains MJ" were the most prolific authors in the field of crisis management. "Komadina R" and "Ingrassia PL" had the highest centrality indicators compared to other authors. In addition, the levels of macro indicators including density, clustering coefficient, average distance and network diameter were 0.018, 2.818, 2.134 and 6, respectively.
Conclusion: Considering the low coherence of the network, the coherence of this network is likely to be improved by joining small clusters together depending on collaboration between the authors of these clusters as well as leads to the reduction of structural holes in this network. |
|
| Keywords: Crisis management, Scientific outputs, Scientific collaboration network, Co-authorship network analysis, Scientific mapping |
|
|
Full-Text [PDF 672 kb]
(2420 Downloads)
|
Type of Study: Orginal |
Subject:
Scientometrics
Received: 2020/11/7 | Revised: 2021/12/8 | Accepted: 2021/04/26 | ePublished: 2021/09/1
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
