搜索资源列表
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
FastCommunity_GPL_v1.0.3
- Newman快速算法, 适用于大规模网络的社团结构划分的方法。 其思想是自底向上,每次合并使模块度增大最大的节点。是一种贪婪算法-Newman fast algorithm, suitable for large-scale network of community structure division method. The idea is from the bottom up, so that each merge module to increase the maximum degree
GenLouvain1.2
- 《Science》的一篇多层网络社区发现文章——"Community Structure in Time-Dependent, Multiscale, and Multiplex Networks"的实现代码。请认真阅读README，按作者要求加以引用。-The Matlab code of the paper of "Community Structure in Time-Dependent, Multiscale, and Multiplex Networks"
fengwotongxin
- 有关小区之间的蜂窝通信，消除小区间的干扰，通过仿真可以得出结论！-About the cellular communication between community, eliminate interference between zones, can come to the conclusion through the simulation！
cluster_jl
- 这是论文Fast_unfolding_of_communities_in_large_networks的MATLAB代码，是一种静态社区发现算法-This is the thesis Fast_unfolding_of_communities_in_large_networks MATLAB code, is a static community discovery algorithm
13
- 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是
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.
FastNewman
- 基于fastnewman算法的社团分类，大家可以参考一下-Fastnewman community-based classification algorithm
CNN10000
- 复杂网络中社区发现的一种重要的抽样算法，是雪球抽样的一种拓展方法。-An important sampling algorithm complex networks of community found an expanding snowball sampling method.
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
CliqueB
- 基于派系方法的社团结构划分算法，自己实现的，C++代码源程序。-A method of community structure based clique.
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
FastCommunity_GPL_v1.0.3
- 机会网络中的社团划分算法，newman的贪婪算法的C++实现，在linux系统下运行。-Community the opportunity to network partitioning algorithm, newman greedy algorithm implemented in C++, runs under linux system.
GCE(linux)
- 社会网络的重叠社区发现算法GCE的源程序，其在高密度网络中社区发现性能更加优良。-Source program of community detection algorith GCE.
activity-recognition-based-on-DRNN
- 基于多层神经网络的人类活动识别，智能家居领域的一项重大突破。-Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time streaming data, but this presents a number of
LPA
- 基于标签传播的实时社区发现算法研究，实现了原始标签传播算法。-The research of real-time community detection algorithm based on label propagation.The original label propagation algorithm has been come true.
k_clique
- [X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix-k-clique alg
Larcondelfav
- Our world is three-dimensional, but camera image is two-dimensional, in order to obtain the three-dimensional information of objective object’s by the two-dimensional images, we need to rebuild the three-dimensional model of the target so that we