搜索资源列表
community_structure
- This file is about community structure-This file is about community structure!!
GNS3-0.7
- GNS3是一个网络模拟系统, 可用于设计极复杂的网络架构, 可让你设定模拟的工作站和路由器.-GNS3 is a graphical network simulator that allows you to design complex network topologies. You may run simulations or configure devices ranging from simple workstations to powerful Cisco routers.
GN
- 该代码是典型算法GN算法的实现，用于社区检测-The code is a typical algorithm GN algorithm for community detection
gn
- 微信3G网站展示模板,直接修改中文可用。上传到自己空间，然后复制地址到外部链接-Micro-letters 3G displayed on the website template directly modify the Chinese are available. Upload to your space, and then copy the address into external links
GNmatlab
- GN算法matlab源程序，遗传算法，贪婪算法-GN algorithm matlab source code, genetic algorithms, greedy algorithms
karate_gngraph
- 网络karate的GN算法，计算模块度值与分裂图-Network karate' s GN algorithm to calculate the value and division chart module
GNalogrithm
- GN算法。需要结合相关的图像软件可以画出社团的图。-GN Algorithm.
GN
- 经典Girvan-Newman算法的实现-The implementation of the classic Girvan- Newman algorithm
GN
- 输入结点数n与边数m，随机生成以数组形式表现的有向连通网络。-A random network generator, with arcs represented in arrays by specifying the beginning and destination nodes.
GMPcal
- 两个MATLAB程序：层次分析法实现各个因子的权重系数求解；GN（1,1）模型进行灰色预测-Two MATLAB program: the analytic hierarchy process to realize the right of each factor weighting factor for solving GN (1,1) model of gray forecast
Desktop
- 社区发现 GN 算法完整实现，无向图和有向图，强社团等-GN devide a huge matrix
GN--code
- 经典社区发现算法之GN算法完整实现，亲测有效-GN algorithm of community discovery algorithm for full implementation of
GN
- 链路预测算法，非常经典的gn算法,我再网上找了很久才找到(this is a algorihtm about linking prediction)
GN
- 该算法是应用分裂算法计算的网络社团结构，方法已经试验过有效。(The structure of network community is calculated using the partition algorithm, The method has been tested.)
igraph
- rigraph实现边介数社区发现算法(GN)(Rigraph implementation of edge betweenness community discovery algorithm (GN))
09498664GN_FN
- 主要用于社区GN的分类，具有较强的分类功能，代码已测试过(It is mainly used in the classification of community GN. It has a strong classification function. The code has been tested.)