dorsal/arxiv
View SchemaPower-law Strength-Degree Correlation From a Resource-Allocation Dynamics on Weighted Networks
| Authors | Qing Ou, Ying-Di Jin, Tao Zhou, Bing-Hong Wang, Bao-Qun Yin |
|---|---|
| Categories | |
| ArXiv ID | physics/0603081 |
| URL | https://arxiv.org/abs/physics/0603081 |
| DOI | 10.1103/PhysRevE.75.021102 |
| Journal | Phys. Rev. E 75, 021102(2007) |
Abstract
Many weighted scale-free networks are known to have a power-law correlation between strength and degree of nodes, which, however, has not been well explicated. We investigate the dynamic behaviors of resource/traffic flow on scale-free networks. The dynamical system will evolve to a kinetic equilibrium state, where the strength, defined by the amount of resource or traffic load, is correlated with the degree in a power-law form with tunable exponent. The analytical results agree with simulations well.
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"abstract": "Many weighted scale-free networks are known to have a power-law correlation\nbetween strength and degree of nodes, which, however, has not been well\nexplicated. We investigate the dynamic behaviors of resource/traffic flow on\nscale-free networks. The dynamical system will evolve to a kinetic equilibrium\nstate, where the strength, defined by the amount of resource or traffic load,\nis correlated with the degree in a power-law form with tunable exponent. The\nanalytical results agree with simulations well.",
"arxiv_id": "physics/0603081",
"authors": [
"Qing Ou",
"Ying-Di Jin",
"Tao Zhou",
"Bing-Hong Wang",
"Bao-Qun Yin"
],
"categories": [
"physics.soc-ph",
"physics.data-an"
],
"doi": "10.1103/PhysRevE.75.021102",
"journal_ref": "Phys. Rev. E 75, 021102(2007)",
"title": "Power-law Strength-Degree Correlation From a Resource-Allocation Dynamics on Weighted Networks",
"url": "https://arxiv.org/abs/physics/0603081"
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