title: Weighted scale-free networks with stochastic weight assignments.
abstract: We propose a model of weighted scale-free networks incorporating a stochastic scheme for weight assignments to the links, taking into account both the popularity and fitness of a node. As the network grows, the weights of links are driven either by the connectivity with probability p or by the fitness with probability 1-p. Numerical results show that the total weight exhibits a power-law distribution with an exponent sigma that depends on the probability p. The exponent sigma decreases continuously as p increases. For p=0, the scaling behavior is the same as that of the connectivity distribution. An analytical expression for the total weight is derived so as to explain the features observed in the numerical results. Numerical results are also presented for a generalized model with a fitness-dependent link formation mechanism.
authors.affiliation: Fachbereich Physik, Martin-Luther-Universität, D-06099 Halle, Germany.
authors.forename: Dafang
authors.initials: D
authors.lastname: Zheng
authors.forename: Steffen
authors.initials: S
authors.lastname: Trimper
authors.forename: Bo
authors.initials: B
authors.lastname: Zheng
authors.forename: P M
authors.initials: PM
authors.lastname: Hui