搜索资源列表
Scale-free-network
- Albert-László Barabási与Réka Albert在1999年的论文中提出了一个模型来解释复杂网络的无标度特性,称为BA模型。这个模型基于两个假设: 增长模式:不少现实网络是不断扩大不断增长而来的,例如互联网中新网页的诞生,人际网络中新朋友的加入,新的论文的发表,航空网络中新机场的建造等等。 优先连接模式:新的节点在加入时会倾向于与有更多连接的节点相连,例如新网页一般会有到知名的网络站点的连接,新加入社群的人会想与社群中的知名人士结识,新的论文倾向于引用已被广泛引用
cluster_jl
- 根据SCI文章"Fast unfolding of community hierarchies in large networks"给出的算法,实现数据集的聚类.-Iplementate cluster
GN
- 复杂网络中社区划分算法中利用边介数的经典GN算法-Complex network community partitioning algorithm using edge betweenness classic GN algorithm
k
- k均值算法,社区划分算法中经典算法,WSN中分簇也可使用该算法。-K-means algorithm, classic algorithms in community partition algorithm, clustering can also use this algorithm in the WSN.
cobra
- Over the past decade, a growing community of researchers has emerged around the use of constraint-based reconstruction and analysis (COBRA) methods to simulate, analyze and predict a variety of metabolic phenotypes using genome-scale models. The COBR
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
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!
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.
IBC-WMMSE
- 基于凸优化 多小区用户和速率最大化算法,采用迭代算法-Maximization algorithm based on convex optimization community more users and rate, using iterative algorithm
Power-Control-in-CDMA
- this code on not finished, but almost 80 done, the code based on the study of : - Performance Analysis of Downlink Power Control in CDMA Systems Soumya Das, Sachin Ganu, Natalia Rivera, Ritabrata Roy email: fsoumya, sachin, nriver
jinhuasuanfa
- 微分进化(DE) 是比较新的基于群体的随机优化方法。它具有简单、快速、鲁棒性好等特点,已经得 到广泛关注。不同于其它进化算法,它的变异算子是由种群中任意选取的多对向量的差值得到的。微分进化主 要用于实参数优化问题,在非线性和不可微的连续空间问题上优于其它进化方法。近些年,微分进化的应用领域 也是不断扩大。-Differential evolution (DE) is a relatively new method based on stochastic optimization co
weifenjinhuasuanfa
- 微分进化(DE) 是比较新的基于群体的随机优化方法。它具有简单、快速、鲁棒性好等特点,已经得 到广泛关注。不同于其它进化算法,它的变异算子是由种群中任意选取的多对向量的差值得到的。微分进化主 要用于实参数优化问题,在非线性和不可微的连续空间问题上优于其它进化方法。近些年,微分进化的应用领域 也是不断扩大。-Differential evolution (DE) is a relatively new method based on stochastic optimization co
GN
- GN算法的实现,用于社团划分,一个简单的例子-GN algorithm implementation, for community division, a simple example
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.)
GCModulMax1
- 计算社团分区模块度函数,用于复杂的网络分区(Modularity Maximization community detection)
pso
- PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The PSO algorithm is a kin
FELICITY
- There are many finite element packages available, both commercial and free. FELICITY is designed for simulating problems where sub-domains interact in non-trivial ways, i.e. Partial Differential Equations (PDEs) on surfaces (e.g. Laplace-Beltrami) in