排序方式: 共有101条查询结果,搜索用时 249 毫秒
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We investigate the prisoner's dilemma game based on a new rule: players will change their current strategies to opposite strategies with some probability if their neighbours' average payoffs are higher than theirs. Compared with the cases on regular lattices (RL) and Newman-Watts small world network (NW), cooperation can be best enhanced on the scale-free Barabasi-Albert network (BA). It is found that cooperators are dispersive on RL network, which is different from previously reported results that cooperators will form large clusters to resist the invasion of defectors. Cooperative behaviours on the BA network are discussed in detail. It is found that large-degree individuals have lower cooperation level and gain higher average payoffs than that of small-degree individuals. In addition, we find that small-degree individuals more frequently change strategies than do large- degree individuals. 相似文献
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对于高速公路交通流的一维元胞自动机模型,提出一种从微观格点状态更新规则出发,经过逐步的统计系综平均和截断退耦近似处理,推导宏观演化规律,从而获得描述车流稳态平均速度与车辆密度之间关系的基本图曲线的平均场方程方法.宏观演化规律表现为相继两个时刻车流平均速度的一个非线性映射.平均场论可以作为这一非线性映射的吸引子得到.将此法应用于Fukui-Ishibashi建议的高速运动车模型,计算表明:在单辆车最大速度为M的情形,可以采用截断退耦到仅保留M+1格点耦合的近似法计算空间关联函数.对于不考虑随机减速的决定论模 相似文献
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受某些实际网络节点数按几何级数增长现象的启发,构造了每个时间步中按当前网络规模成比例地同时加入多个节点的节点数加速增长的网络模型.研究表明,在增长率不是很大的情况下网络度分布仍然是幂律的,但在不同的增长率r下幂律指数是不同的.得到了幂律指数介于2到3之间可调的无标度网络模型,并解析地给出了幂律指数随增长率变化的函数关系.数值模拟还显示,网络的平均最短距离随r减小而簇系数随r增大.
关键词:
复杂网络
无标度网络
生长网络模型
节点数加速增长网络模型 相似文献
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Fukui—Ishibashi交通流基本图解析研究 总被引:2,自引:0,他引:2
本文对于含高速运动车的Fukui-Ishibaxhi决定论性一维交通流包自动机模型,采用新的解析研究方法,严格导出描述基本图曲弛的精确平均场方程。 相似文献
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We study the evolutionary snowdrift game in a heterogeneous Newman-Watts small-world network. The heterogeneity of the network is controlled by the number of hubs. It is found that the moderate heterogeneity of the network can promote the cooperation best. Besides, we study how the hubs affect the evolution of cooperative behaviours of the heterogeneous Newman-Watts small-world network. Simulation results show that both the initial states of hubs and the connections between hubs can play an important role. Our work gives a further insight into the effect of hubs on the heterogeneous networks. 相似文献
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正一、研究背景由几十亿人组成的庞大社会系统是非常复杂的,我们越来越深刻认识到认知人类社会自身规律的重要性。随着计算机网络技术的不断发展,我们已经有能力记录和统计关于人类社会行为的海量数据。挖掘这些大数据,对其特征进行统计分析,探索可能存在的动力学机制和内在机理,建立各种模型,我们可以更加深入理解和认知各种相关的人类社会行为。国内外众多科学工作者在这方面已经做了大量的研究工作,这些工作主要体现在人类社会行为时间统计特性和空 相似文献
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