摘要
现实世界许多复杂系统描述为复杂网络拓扑后,节点连通度呈幂律衰退,网络中存在少量的高连通度节点和大量的低连通度节点.本文研究了复杂网络的网络拓扑熵与网络结构的关系,从系统的开放性、远离平衡态、非线性相互作用以及随机涨落的角度对网络进行了分析,认为复杂网络拓扑结构是系统自组织演化的结果.
When a number of complex systems in real world are described by complex network topology,their vertex connectivity follows power-law distribution, having only a few. of high-connectivity vertices,but a great deal of low-connectivity vertices in network. In the paper, the relationships between complex networks＇ topologic entropies and their structures are studied. From view points of system opening, non-equilibrium state, nonlinearity interaction and stochastic fluctuation, complex network＇ s topologic structures are discussed. It is concluded that this is due to the result of systems＇ selforganization evolution process.
出处
《上海理工大学学报》
EI
CAS
北大核心
2005年第5期413-416,共4页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(70371070/G0116)
上海市重点学科建设资助项目(70502)
关键词
复杂系统
复杂网络
无标度网络
自组织
complex systems
complex network
scale-free network
self-organization
