General dynamics of topology and traffic on weighted technological networks.
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.
Wang
Wen-Xu
WX
Nonlinear Science Center and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, People's Republic of China.
Wang
Bing-Hong
BH
Hu
Bo
B
Yan
Gang
G
Ou
Qing
Q