Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-01-10
Physical Review Letters 94, 188702(2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 figures
Scientific paper
10.1103/PhysRevLett.94.188702
For most technical networks, the interplay of dynamics, traffic and topology is assumed crucial to their evolution. In this paper, 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 in consistence with empirical evidences.
Hu Beilai
Ou Qing
Wang Bing-Hong
Wang Wen-Xu
Yan Gang
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