generalized small-world networks 推广小世界网络
Two-layer small-world networks 双层小世界网络
small-world biological neural networks 小世界生物神经网络
This dissertation studies the Self-organized Criticality(SOC) behavior in small world networks and the influence of network topologies to SOC behaviors.
本文主要研究了小世界网络中的自组织临界（SOC）行为，以及网络拓扑结构对自组织临界行为的影响。
Many of those studies are in the domain of complex networks [1-7], especially in the first decade of this century, after two milestones: the small-world network [8] and the scale-free network [9].
许多这些研究都是在复杂网络[1 - 7]的领域，尤其是在本世纪的第一个十年里，在两个里程碑之后：小世界网络[8]和无标度网络[9]。
Simulation results show that the proposed approach can generate a variety of topological networks, including random graphs, small-world networks, scale-free networks and other new networks.
仿真结果表明，该建模机制能够得到各种不同拓扑结构的复杂网络，包括随机网络、小世界网络、无标度网络等。
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