Weighted scale-free network with self-organizing link weight dynamics

Abstract

All crucial features of the recently observed real-world weighted networks are obtained in a model where the weight of a link is defined with a single non-linear parameter $\alpha$ as $w_{ij}=(s_i{s}_j{)}^{\alpha }$, $s_i$ and $s_j$ are the strengths of two end nodes of the link and $\alpha$ is a continuously tunable positive parameter. In addition the definition of strength as $s_i={\Sigma }_j{w}_{ij}$ results a self-organizing link weight dynamics leading to a self-consistent distribution of strengths and weights on the network. Using the Barabási-Albert growth dynamics all exponents of the weighted networks which are continuously tunable with $\alpha$ are obtained. It is conjectured that the weight distribution should be similar in any scale-free network.

5 pages, 4 figures

References in corpus (9)

• Statistical mechanics of complex networks
• Lethality and centrality in protein networks
• The diameter of the world wide web
• The architecture of complex weighted networks
• Global organization of metabolic fluxes in the bacterium, Escherichia coli
• Weighted evolving networks: coupling topology and weights dynamics
• Fitness-dependent topological properties of the World Trade Web
• General Dynamics of Topology and Traffic on Weighted Technological Networks
• Nonlocal evolution of weighted scale-free networks

Cited by in corpus (1)

• A Survey of Evolving Models for Weighted Complex Networks based on their Dynamics and Evolution