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