搜索资源列表
Fast GN
- Fast Community Detection algorithm 是美国Michigan大学Newman教授所创,是复杂网络中社区发现的经典算法
Community_BGLL_CPP
- 社区发现经典算法BGLL算法的c++实现,能够根据不同节点之间的联系来实现社区的划分。-classical community detection algorithm BGLL, c++ implementation.
经典算法GN算法的Java实现
- 社区发现经典算法GN算法的Java实现,能够根据不同节点之间的联系来实现社区的划分。-Community found that classical algorithm GN algorithm Java implementation, and can be the link between different nodes to achieve the division of the community.
Karate-Club
- 实现复杂网络中社区发现的评价函数-模块度-Implement modularity in complex network with matlab.
Community_latest
- 社会网络中一种快速的社区发现算法。时间复杂度为O(N)-A fast social network community discovery algorithm. Time complexity O (N)
Karate-Club
- 本软件能实现复杂网络分析,功能强大,能计算复杂网路的度,簇系数,聚类和社区发现。-This tool can finish analysing complex networks, the function is complete.
LWP
- LWP算法,是一种局部聚类的启发式社区发现算法-LWP algorithm, is a local community discovery algorithm heuristic clustering
Detecting-Community
- 基于相似度的社区发现分裂算法,包括GML文件读取,相似度计算等-Similarity-based community discovery splitting algorithms, including GML file read, similarity calculation
Network_Potential
- 基于网络能量的社区发现分裂算法,定义网络的能量和边能量,依次选择最大能量的边并删除,直到划分出相应的社区。代码有相应的说明-Web-based community discovery energy splitting algorithm, define the network of energy and edge energy, select and delete the maximum energy of the side until the division of the correspon
louvain-master
- 用于大规模快速社区发现 python语言编写的程序-community detection
fast_mo
- 用matlab实现网络中的社区发现功能,保证结果的模块值最大化。-community detection,fast modularity
readgraph-code
- 复杂网络社区发现中的读图代码,把txt中的点边关系读入matlab中化为矩阵-Complex network of community found in image code, txt to point edge in relation reads into the matrix in matlab
edge_betweenness
- 复杂网络社区发现中,用于计算边介数的代码。-Complex network of community found in the code for edge betweenness calculation.
fiedler
- 复杂网络中基于谱分析的社区发现算法中,求解拉普拉斯矩阵的第二特征值(费德勒向量)代码-Spectral analysis of the complex network of community-based discovery algorithm for solving Laplace second eigenvalues of the matrix (Federer vector) code
A1A2
- 通过fn算法,实现社区网络发现的一个例子。(Through FN algorithm, an example of community network discovery is implemented.)
Community_BGLL_Matlab
- 这个是一个非常好的社区发现算法,该算法社区发现的精度非常高。(this is a algorihtm about community detection)
社区发现真实网络数据集
- 用于社区发现领域实验研究,四大真实网络football club,dolphins,karate,polbooks(community detection dataset)
communicaties_detection_by_derected_networks
- 基于CPM算法对有向加权社区网络进行社会发现(Social discovery of directed weighted community network based on CPM algorithm)
slpa-py-master
- 基于标签传播的复杂网络的重叠社区发现方法:SLPA.(The Label Propagation Algorithm for overlapping community detection in complex networks.)
email-Eu-core
- 用于社区发现的网络数据,来自Snap网络大数据(Network data for community discovery)