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General dynamics of topology and traffic on weighted technological networks
Wen-Xu Wang1, Bing-Hong Wang, Bo Hu
1Nonlinear Science Center and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, People's Republic of China.
Abstract:
For most technical networks, the interplay of dynamics, traffic, and topology is assumed crucial to their evolution. In this Letter, we propose a traffic-driven evolution model of weighted technological networks. By introducing a general strength-coupling mechanism under which the traffic and topology mutually interact, the model gives power-law distributions of degree, weight, and strength, as confirmed in many real networks. Particularly, depending on a parameter W that controls the total weight growth of the system, the nontrivial clustering coefficient C, degree assortativity coefficient r, and degree-strength correlation are all consistent with empirical evidence.
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