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Updated: Jul 25, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Clustering networked funded European research activities through rank-size laws.
Roy Cerqueti1,2, Antonio Iovanella3, Raffaele Mattera1
1Department of Social and Economic Sciences, Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy.
This study analyzes European Union funded research projects from 2007-2020 using network analysis and curve fitting. It reveals patterns in research collaborations and institutional activity over time.
Area of Science:
- Bibliometrics and Scientometrics
- Network Science
- Public Policy Analysis
Background:
- Analyzing funded research projects is crucial for evaluating scientific output and impact.
- The European Union's research programs, including the 7th Framework Programme (FP7) and Horizon 2020 (H2020), represent significant investments in scientific advancement.
Purpose of the Study:
- To analyze the collaborative networks of scientific institutions funded by the European Union between 2007 and 2020.
- To identify temporal trends and patterns in European research activities and institutional collaborations.
Main Methods:
- Construction of yearly complex networks based on co-funded research projects.
- Computation of nodal centrality measures to quantify institutional importance.
- Application of rank-size procedures with parametric curve fitting to analyze network data.
- Clustering based on fitted curves to identify regularities and deviations in research patterns.
Main Results:
- Identification of distinct patterns in scientific collaboration networks over the 2007-2020 period.
- Quantification of institutional roles and influence within EU-funded research.
- Detection of temporal regularities and deviations in research funding and collaboration.
Conclusions:
- The study provides a comprehensive view of European research activity and collaboration dynamics.
- Network analysis combined with curve fitting offers a robust methodology for evaluating large-scale research programs.
- Findings offer insights for future research funding strategies and policy-making in the EU.
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