搜索资源列表
GN算法源码
- GN算法源码，使用matlab，可直接运行，用于复杂网络社团发现
Communitystructuredetectingofcomplexnetwork(realiz
- 复杂网络社团结构的发现，此代码实现了GN算法的理论，真正做到了社团结构发现-Community structure of complex networks found that the code implementation of the GN algorithm theory, the structure of a society truly found
KMEANS
- K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
FastCommunity_GPL_v1.0.3
- Newman的快速社团发现算法，能求解上百万数据量大的社团发现问题，但这个是不支持加权图的。-Newman' s fast association discovery algorithm that can solve large amount of data on the millions of associations found, but this is not supported by the weighted graph.
k-means
- 基于K-means聚类算法的社团发现方法 先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。 以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery T
Fast-Newman
- Fast Newman算法实现社团发现，算法论文、源码和数据俱全。-Fast Newman to detect community structure
GN
- GN算法，用于社团发现的 Girvan-Newman算法，源码，能够较快的时间社团发现。-GN algorithm, for the associations found Girvan-Newman algorithm, source code, can be a faster time associations found.
football
- 经典的美国橄榄球俱乐部社会网络数据，一般用于社会网络分析和社团发现。-Classic American football club social network data, generally used for social network analysis and consortium found.
Karate-Club-network
- Karate Club 经典的社会网络数据，用于社团发现和社会网络分析-Karate Club classic social network data for associations found and social network analysis
Community
- 一种快速的复杂网络中社团发现算法，算法的论文为：Fast unfolding of communities in large networks
radatools
- 多个社团发现算法，提供实验数据，可供复杂网络方面的学习人员参考借鉴-Many such groups discovery algorithm, and provide experimental data available for the complex network learning staff for reference to
group
- 社团发现，用于发现图中任意节点的社团成员-About finding out the group member in a graph
Community_BGLL_Matlab
- 复杂网络社团发现算法Louvain的matlab版本，简单实用，欢迎下载-Louvain complex network of associations discovery algorithm matlab version, simple and practical, welcome to download
asdfladfadga123sdfsgww
- 这是社团发现的论文，对大家学理论很有好处的，可以看看吧。-this is she tuan faxian lunwen ,thankyou for your see ,that is all/
lpa
- 经典社团发现算法，LPA算法(线性传播算法)的java实现。-The implementation of LPA algorithm，which is a classical algorithm of community detection in network.
benchmark_2_2
- 作为基准的网络社团发现算法，有详细的运行说明，对于研究很有用。-The cade is the benchmark of community detection algorithm, which is very useful for deep study.
lfr
- 网络数据挖掘中用于研究重叠社团发现算法性能的基准网络，代码很详细。-This is used for uating the implmentation of a overlapping community detection algorithm.
SNA
- 复杂网络社团发现算法，包括重叠社团发现算法和一些非重叠社团发现算法。-Complex network community discovery algorithm
cluster
- 基于节点间依赖度的社团结构划分方法,自己修改的人一种社团发现算法，C++原代码。-Detecting community structure based on the dependence between nodes
ComDetTBv090
- ComDetTBv090社团发现,Matlab源码-ComDetTBv090 club, found that the Matlab source code