Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-02-07
Physical Review E 83, 056113 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 3 figures
Scientific paper
10.1103/PhysRevE.83.056113
Functional networks of complex systems are obtained from the analysis of the temporal activity of their components, and are often used to infer their unknown underlying connectivity. We obtain the equations relating topology and function in a system of diffusively delay-coupled elements in complex networks. We solve exactly the resulting equations in motifs (directed structures of three nodes), and in directed networks. The mean-field solution for directed uncorrelated networks shows that the clusterization of the activity is dominated by the in-degree of the nodes, and that the locking frequency decreases with increasing average degree. We find that the exponent of a power law degree distribution of the structural topology, b, is related to the exponent of the associated functional network as a =1/(2-b), for b < 2.
Arenas Alex
Borge-Holtoefer Javier
Eguiluz Victor M.
Perez Toni
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