搜索资源列表
5pro
- 复杂网络计算相关,有c、vc两种环境的5个程序:1.筛选一列不重复记录2.集聚系数的计算(c语言,附有示例数据)3.含有节点信息的编号程序(vc,附有示例数据)4.独立性计算程序(附相关文献)5.网页过滤批处理程序(可处理无限文件)-Related to the complexity of network computing, there is c, vc two of the five procedures for the envir
shijj_complexnet_pro
- 复杂网络计算相关,有c、vc两种环境的5个程序:1.筛选一列不重复记录2.集聚系数的计算(c语言,附有示例数据)3.含有节点信息的编号程序(vc,附有示例数据)4.独立性计算程序(附相关文献)5.网页过滤批处理程序(可处理无限文件)-Related to the complexity of network computing, there is c, vc two of the five procedures for the envir
net_matlab
- 小世界,无标度网络的生成及度分布,集聚系数等计算的程序代码-Small world, scale-free network generation and distribution, the clustering coefficient calculation code
sfnet-src-v002
- 生成无标度网络,可以计算网络的节点平均度、集聚系数等。-Generate scale-free network, the network node can calculate the average degree, clustering coefficient and so on.
get_clustering_coefficient
- 计算复杂网络中节点的集聚系数。有详细注释。-Computational complexity of the network node clustering coefficient. There are detailed notes.
ER-networks
- 生成500个点的ER图,计算集聚系数,平均度,度分布-Generate 500 points ER diagram, calculate the clustering coefficient, average degree, degree distribution
clustering-coefficient
- 计算复杂网络的的得集聚系数,对优化网络拓扑结构很有用-The computational complexity of the network of clustering coefficient, is very useful to optimize the network topology.
bbv
- 论文调研了复杂网络的结构特征,基于复杂网络的方法对在线社会网络的多种属性进行了分析,并利用MATLAB仿真工具对在线社会网络数据源进行了仿真,论文重点分析了在线社会网络的度分布、集聚系数、平均最短路径三个基本特征量,仿真实验结果表明在线社会网络具有小世界特性和无标度特性;然后,基于节点收缩的方法对网络节点重要性进行评估,根据节点重要度找出在线社会网络中的核心节点;进而,采用标签传播算法对在线社会网络进行社团划分,改进了算法的结条件,可在
BA-matlab
- 画出BA模型,BA模型度分布,平均路径程度,集聚系数-Draw BA model, BA model distribution, average path degree, clustering coefficient
Networking
- 建立简单的随机网络并计算该有方向有权重随机网络的集聚系数-Compute the clustering coefficient in a weighted directed graph
project
- 对复杂网络进行建模,分析网络属性(最短路径、集聚系数、度数分布、核数)。-Complex network model, analyze network properties (shortest path, clustering coefficient, degree distribution, auditing).
Matlab
- 计算复杂网络中的集聚系数 网络的平均集聚系数 平均距离 度分布 matlab编程实现(Matlab programming for calculating average coefficient Mean distance distribution of agglomeration coefficient in complex networks)