  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.
