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。
This paper has briefly introduced the concepts on complex networks, its structure and function, and especially the features of small-world and scale-free networks.
简述了复杂网络的基本概念，对网络的结构与功能作了概略的介绍，包括小世界网和无标度网的结构特点。
The statistic characteristics indicate that these real-life networks have both small world and scale-free features.
统计性质显示这些网络都具有小世界和无标度网络的特征。
An evolving model that can construct small-world networks and scale-free networks is employed to introduce nonlinear rewiring methods with keeping the number of nodes and edges invariable.
提出了一个能构建小世界网络和无标度网络的演化模型，这演化模型保持节点规模和边数量不变，引入边非线性择优重连方法。
This study has found that the Complex Networks built up by the radicals of popular Chinese characters have Small World effect and Scale-free property.
我们已经探索发现由常用汉字的偏旁字符所构成的复杂网络具有小世界效应以及无标度特征。
The finding of small-world effects and scale-free property has attracted a great deal of attention of complex networks structure and dynamics, which raise the science awareness for the real world.
小世界效应与无标度特性的科学发现掀起了对复杂网络结构及其动力学特性的研究热潮，提高了人们对现实世界的科学认识。
The cases of small world, scale free and modular networks are studied.
分别在混沌振子的规则网络及复杂网络情况下进行了研究。
The cases of small world, scale free and modular networks are studied.
分别在混沌振子的规则网络及复杂网络情况下进行了研究。
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