2 M. E. J. Newman. “Random Graphs with Clustering”. In: Physical Review Letters 103 (5 July 2009) 例子: >>>deg = [ (1,0), (1,0), (1,0), (2,0), (1,0), (2,1), (0,1), (0,1)]>>>G = nx.random_clustered_graph(deg) 要删除平行边: >>>G = nx.Graph(...
In this paper we consider Susceptible [Formula: see text] Infectious [Formula: see text] Recovered (SIR) epidemics on random graphs with clustering. To incorporate group structure of the underlying social network, we use a generalized version of the configuration model in which each node is a ...
评价with随机图稀疏随机图百度快照 系统标签: sparsegraphs随机random快照百度 Sparse random graphs with clustering B´ela Bollob´as ∗†‡ Svante Janson § Oliver Riordan ¶ July 13, 2008 Abstract In 2007 we introduced a general model of sparse random graphs with independence between the edg...
Clustering in random line graphsdoi:10.1016/j.cpc.2009.09.010LinegraphsRandomnetworksClusteringcoefficientDegreedistributionWe investigate the degree distribution P ( k ) and the clustering coefficient C of the line graphs constructed on the Erdös–Rényi networks, the exponential and the scale-free ...
We consider sparse random intersection graphs with the property that the clustering coefficient does not vanish as the number of nodes tends to infinity.We... M Bloznelis,J Jaworski,V Kurauskas - 《Electronic Journal of Probability》 被引量: 40发表: 2013年 The Vertex Degree Distribution of Pas...
The cut metric, random graphs, and branching processes We also prove corresponding results for random hypergraphs; these generalize our results on the phase transition in inhomogeneous random graphs with clustering ... B Bollobás,S Janson,O Riordan - 《Journal of Statistical Physics》 被引量: 26...
54 Solving clustering problems via new swarm intelligent algorithms 42:45 Statistical Network Models for Integrating Functional Connectivity with sMRI and 59:08 The Tumor Growth Paradox 46:37 A case study on stochastic games on large graphs in mean field and sparse regime 48:17 Differential ...
In this paper, we work with the weight function (1.3) for a parameter . Different values of the interpolation parameter a in (1.3) capture different spatial random graphs from the literature, see Sect. 1.5 for details. 1.3 The Clustering Function Let be a locally finite graph. For , we...
[CS224W] 图机器学习 Machine Learning with Graphs (Stanford / Fall 2019)_哔哩哔哩 (゜-゜)つロ 干杯~-bilibiliwww.bilibili.com/video/av84385561?p=2 networks的性质--怎么度量一个network? (1)度的分布(degree distribution): 首先什么是度(degree):根据邻近矩阵的信息,对每一个节点来计算其度(行和...
2) random graphs 随机图 1. Traditionally,communication networks were always modeled asrandom graphswith Poisson degree distributions, which will lead to mischaracterize real networks. 传统上对这些网络建模时采用的是随机图模型,然而随机图网络与Power-law(网络的一个本质区别是在随机图网络中节点度的概率分布...