【摘要】 利用susceptible-infected-susceptible动力学模型,研究了几类典型复杂网络中有限尺寸大小对流行病阈值的影响.结果表明:在小世界网络和结构化无标度网络中,流行病阈值不随网络尺寸的变化而改变;而在随机增长网络、Barabási-Albert网络和真实的Internet中,流行病阈值随网络尺寸的增大而减小,并且对于不同的网络结构呈现出不同的衰减规律.更多还原

【Abstract】 By making use of the susceptible-infected-susceptible dynamic model,we studied the effect of the finite size of some typical complex networks on the epidemic thresholds.The results show that in the small-world network and the structured scale-free network,the epidemic thresholds are independent of networks’ size;however,in the randomly growing network,Barabási-Albert network and the Internet,with networks’ size increasing the epidemic thresholds gradually decrease,but follow different rules in different networked structures.更多还原