搜索结果: 1-6 共查到“数学 random graph”相关记录6条 . 查询时间(0.109 秒)
TRACTABLE AND CONSISTENT RANDOM GRAPH MODELS
RANDOM GRAPH MODELS TRACTABLE
font style='font-size:12px;'>
2015/7/15
This paper studies the formation of risk-sharing networks through costly social
investments, identifying endogenous inequality and a misallocation of resources as possible
downsides to such agreemen...
ESTIMATING AND UNDERSTANDING EXPONENTIAL RANDOM GRAPH MODELS
Assessment understanding index random graph model
font style='font-size:12px;'>
2015/7/7
ESTIMATING AND UNDERSTANDING EXPONENTIAL RANDOM GRAPH MODELS。
Weights and degrees in a random graph model based on 3-interactions
Martingale random graph preferential attachment scale-free property
font style='font-size:12px;'>
2012/6/19
In a random graph model based on 3-interactions we give the joint asymptotic distribution of weights and degrees and prove scale-free property for the model. Moreover, we determine the asymptotics of ...
On a sparse random graph with minimum degree {three}: Likely Posa's sets are large
random sparse graphs degrees longest path Posa sets
font style='font-size:12px;'>
2011/9/20
Abstract: We consider the likely size of the endpoint sets produced by Posa rotations, when applied to a longest path in a random graph with $cn,\,c\geq 2.7$ edges that is conditioned to have minimum ...
The component sizes of a critical random graph with pre-described degree sequence
Critical random graph random multigraph with given vertex degrees
font style='font-size:12px;'>
2011/1/20
Consider a critical random multigraph Gn constructed by the conguration model such that its vertex degrees are independent random variables with the same distribution (criticality means that the se...
Bootstrap percolation on the random graph G_{n,p}
Bootstrap percolation random graph G_{n,p}
font style='font-size:12px;'>
2011/2/21
Bootstrap percolation on the random graph Gn,p is a process of spread of “activation” on a
given realization of the graph with a given number of initially active nodes. At each step those vertices wh...