CORDIS Project
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This project aims to develop advanced algorithms for measuring the importance of nodes in complex networks using nonlinear eigenvalue techniques. The research will enhance the understanding of network centrality, providing better tools for analyzing real-world applications.
Models and Algorithms for Graph centrality grounded on Nonlinear Eigenvalues TechniquesThe main objective of the project is to use nonlinear eigenvalue equations to model the importance of components in complex, large-scale and time-varying networks.
Based on the nonlinear Perron-Frobenius theory, we will develop the theory to rigorously formalize the model from a mathematical viewpoint (existence, uniqueness, maximality).
Based on the nonlinear spectral method for multi-homogeneous functions, w…
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