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Thirdly, there are many algorithms used for SNA. We merely applied separation components showing in
figures. Any changes made along the algorithm will cause different pattern.

Fourth, the social network analysis is not subject to the Pajeck software we used in this study. Others such
[32]
[31]
as Ucinet and Gephi are suggested to readers for use in the future.
In conclusion, social network analysis provides wide and deep insight into the relationships among nations in
coauthor collaboration. The results can help readers in future submission to a journal in neuroimmunology
and neuroinflammation.

DECLARATIONS
Authors’ contributions
Drafted the manuscript: Hsu CF
Developed the study concept and design: Chien TW
Analyzed and interpreted the data: Chien TW, Hsu CF, Chow JC
Monitored/supervised the process of this study and helped in responding to the reviewers’ advice and
comments: Chou W
Read and approved the final manuscript: all authors

Data source and availability
All data were downloaded from Medicine library and in Tables.

Financial support and sponsorship
None.

Conflicts of interest
The authors declare that they have no competing interests.

Patient consent
Not applicable.

Ethics approval
Not applicable.

Copyright
© The Author(s) 2018.

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