小世界模型为研究城市道路网络的拓扑结构和内在特征等提供了新的视角和方法。
Small world model provides a new aspect and method for exploring the topological structure and intrinsic characters of urban road network.
基于SANCHEZ提出的有向的小世界类自旋网络模型，研究了引入周期性磁场驱动后所引起的相变特征。
Based on the model which was put forward by SANCHEZ, the stochastic resonance phenomena in the field-driven and spin-like model on Small-World network with directed links were investigated.
本文采用两种小世界模型和无标度模型构造出了束流输运网络。
We adopt two kinds of small world model and scale free BA model to construct the beam transport network.
建立这些系统的复杂网络模型，比如小世界模型和无尺度模型，是近年来研究的热点。
The establishment of complex network model of these systems, such as small world model and scale-free model, has been a hotspot in recent years.
在此基础上，本文结合P 2 P网络中存在的小世界现象，提出了一个基于兴趣域的无结构对等网络搜索模型。
Based on the research and study of these and integrated the phenomenon of Small-world in P2P, this paper puts forward a search model of unstructured P2P network based on the Interest.
利用传染病学的SIR模型，研究网络的连接度和扰乱几率对小世界网络动力学行为的影响。
The influence of connection degree and harassment probability of network to the dynamic behavior of small-world network is studied by using SIR model of lemology.
对WS小世界网络和NW小世界网络两种网络模型进行计算机建模，并分析它们的静态网络统计量，包括节点的度分布、平均最短路径和聚类系数等特征指标。
The WS and NW small-world network are modeled and the static network statistics are analyzed, including the degree distribution of the vertex, average shortest paths and clustering coefficient.
小世界模型为研究城市道路网络的拓扑结构和内在特征等提供了新的视角和方法。
The objectives of city road network planning and shortcomings of the available programming models were analyzed.
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。
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。
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.
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