title: Generalized local-world models for weighted networks.
abstract: Based on the weighted scale-free network model proposed by Barrat, Barthélemy, and Vespignani [Phys. Rev. Lett. 92, 228701 (2004)] and enlightened by our local-world concept [Li and Chen, Physica A 328, 274 (2003)], we propose two generalized local-world (GLW) models for weighted complex networks. Theoretical analysis and numerical simulations show that the GLW models generate weighted networks as a crossover between exponential and scale-free weighted networks, and exhibit an alteration from assortative networks to disassortative networks.
authors.affiliation: Complex Networks and Control Lab, Department of Automation, Shanghai Jiao Tong University, China.
authors.forename: Zaofeng
authors.initials: Z
authors.lastname: Pan
authors.forename: Xiang
authors.initials: X
authors.lastname: Li
authors.forename: Xiaofang
authors.initials: X
authors.lastname: Wang