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EDITORIAL article
Front. Res. Metr. Anal.
Sec. Research Assessment
Volume 10 - 2025 | doi: 10.3389/frma.2025.1595966
This article is part of the Research Topic Science of Science: A Complex Network Perspective View all 6 articles
Editorial: "Science of Science: A Complex Network Perspective"
Provisionally accepted- 1 George Mason University, Fairfax, United States
- 2 Indiana University, Bloomington, Indiana, United States
collaboration patterns (e.g., enabling better mentoring and funding allocation). Network science has 5 emerged as a powerful tool within SciSci, enabling the analysis and modeling of the scientific ecosystem 6 through various types of networks, such as citation and collaboration networks. In this context, the intelligence, the authors mention that the methodology is generalizable and can be applied to other scientific 33 fields.34 Lepsch-Cunha et al. (2024) analyzed Brazilian research on medicinal plants and herbal medicines, with a 35 focus on the Amazon region and its ethnopharmacological importance. The study used data from Scopus 36 and applied bibliometric and network analysis methods, as well as natural language processing techniques.The authors focus their network analysis on collaboration networks, which include networks of countries
Keywords: Network Science, complex networks, visualization, Applied science, network structrue
Received: 18 Mar 2025; Accepted: 26 Mar 2025.
Copyright: © 2025 Reia, Silva and Ferraz de Arruda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Henrique Ferraz de Arruda, George Mason University, Fairfax, United States
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