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Continuous-Time Independent Edge-Markovian Random Graph Process

Continuous-Time Independent Edge-Markovian Random Graph Process
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摘要 In this paper, the continuous-time independent edge-Markovian random graph process model is constructed. The authors also define the interval isolated nodes of the random graph process, study the distribution sequence of the number of isolated nodes and the probability of having no isolated nodes when the initial distribution of the random graph process is stationary distribution, derive the lower limit of the probability in which two arbitrary nodes are connected and the random graph is also connected, and prove that the random graph is almost everywhere connected when the number of nodes is sufficiently large.
出处 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2016年第1期73-82,共10页 数学年刊(B辑英文版)
基金 supported by the National Natural Science Foundation of China(Nos.60872060,11101265) the Shanghai Natural Science Foundation of China(No.12ZR1421000) the Shanghai Education Commission Innovation Project Fund(Nos.12ZZ193,14YZ152,15ZZ099)
关键词 Complex networks Random graph Random graph process Stationary distribution Independent edge-Markovian random graph process 连续时间 随机图 独立边 节点连接 过程模型 马尔可夫 分布序列 平稳分布
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