Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-04-04
Phys. Rev. Lett. 96, 034101 (2006)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 3 figures
Scientific paper
10.1103/PhysRevLett.96.034101
Realistic networks display not only a complex topological structure, but also a heterogeneous distribution of weights in the connection strengths. Here we study synchronization in weighted complex networks and show that the synchronizability of random networks with large minimum degree is determined by two leading parameters: the mean degree and the heterogeneity of the distribution of node's intensity, where the intensity of a node, defined as the total strength of input connections, is a natural combination of topology and weights. Our results provide a possibility for the control of synchronization in complex networks by the manipulation of few parameters.
Kurths Jürgen
Motter Adilson E.
Zhou Changsong
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