渡线
复杂网络
统计物理学
比例(比率)
指数函数
陈
小世界网络
加权网络
计算机科学
数学
无标度网络
组合数学
人工智能
物理
数学分析
地质学
量子力学
古生物学
作者
Pan Zao-Feng,Xiang Li,Xiaofang Wang
标识
DOI:10.1103/physreve.73.056109
摘要
Based on the weighted scale-free network model proposed by Barrat, Barth\'elemy, 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.
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