A measure of reliability for scientific co-authorship networks using fuzzy logic
Author:
Funder
CNPq
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-021-03915-0.pdf
Reference35 articles.
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2. Abbasi, A., Altmann, J., & Hossain, L. (2011). Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures. Journal of Informetrics, 5(4), 594–607.
3. Abbasi, A., Wigand, R., & Hossain, L. (2014). Measuring social capital through network analysis and its influence on individual performance. Library & Information Science Research, 36, 66–73.
4. Aghili, S. J., & Hajian-Hoseinabadi, H. (2017). Reliability evaluation of repairable systems using various fuzzy-based methods: A substation automation case study. International Journal of Electrical Power & Energy Systems, 85, 130–142.
5. Arif, T. (2015). The mathematics of social network analysis: Metrics for academic social networks. International Journal of Computer Applications Technology and Research, 4(12), 889–892.
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