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Description: 生成随机Albert-Barabasi网络-generate random Albert-Barabasi network
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Size: 2125 |
Author: 阿类 |
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Description:
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Size: 2048 |
Author: 阿类 |
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Description: barabasi albert graph generator
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Size: 1024 |
Author: ehsan |
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Description: 基于Barabasi-Albert模型的建立无尺度网络生长模型。控制参数：平均出度m，结点数n。输出所有入度点数比例；输出直方图分段比例；输出集散节点-Based on Barabasi-Albert model of scale-free network growth model. Control parameters: the average out-degree m, the number of nodes n. Output ratio of all penetration points output histogram segmentation ratio output hubs
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Size: 10240 |
Author: maverick |
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Description: 根据Barabasi等人提出的无标度模型复杂网络生成的preferential attachment原理，生成指定规模的无标度网络的邻接矩阵。-Based on the preferential attachment mechanism proposed by Barabasi et al, the code functions to generate the adjacency matrix for a scale-free network with given size.
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Size: 1024 |
Author: Xiaoya Wei |
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Description: 舆论形成的动力学在一大群的人是一个复杂的非线性现象
调查才刚刚开始。集体行为和个人观点都发挥着重要的作用
机制。在当下我们模拟动力学的观点形成的一组代理、代表
由两个州±1,随机响应的每个代理对他/她的邻居在社会的看法
网络和从整个的平均意见反馈。根据最近的研究,一个无标度
Barabasi-Albert网络已经被选择的拓扑结构来模拟交互。一个turbulentlike力学-
集成电路,其特点是一个断断续续的行为,观察某个范围的模型参数。的
不确定性决策问题也解决了这两个从拓扑的角度,使用随机的
和有针对性的消除的代理网络,并通过实现一个三态模型,第三
状态,零,是每个代理相关信息。最后,模型测试的结果
最著名的社交网络:股票市场。日常的闭包的一个时间序列
道琼期指数一直作为一项指标可能的我们的模型在金融的适用性
上下文。找到好的定性协议。
-The dynamics of opinion formation in large groups of people is a complex nonlinear phenomenon whose
investigation is just beginning. Both collective behavior and personal views play an important role in this
mechanism. In the present work we mimic the dynamics of opinion formation of a group of agents, represented
by two states ±1, as a stochastic response of each agent to the opinion of his/her neighbors in the social
network and to feedback from the average opinion of the whole. In the light of recent studies, a scale-free
Barabási-Albert network has been selected to simulate the topology of the interactions. A turbulentlike dynam-
ics, characterized by an intermittent behavior, is observed for a certain range of the model parameters. The
problem of uncertainty in decision taking is also addressed both from a topological point of view, using random
and targeted removal of agents from the network, and by implementing a three-state model, where the third
state, zero, is relate
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Size: 367616 |
Author: 小松 |
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Description: BA无标度网络仿真
为了解释幂率分布的产生机理，Barabasi和Albert提出了一个无标度网络模型，被称为BA模型。-BA scale-free Network Model
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Size: 1024 |
Author: 陈思芸 |
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