病毒传播与级联故障相互作用过程的研究

发布时间：2018-05-30 04:42

  本文选题：聚类系数 + 可调聚类系数无标度网络　； 参考：《计算机工程》2017年08期

【摘要】：为研究聚类系数对病毒传播与级联故障相互作用的影响,提出一种改进的病毒传播与级联故障相互作用模型。通过改变平均度和三角连接概率调节网络聚类系数,以此观察病毒传播与级联故障相互作用过程。当不考虑三角连接概率时,平均度越小,网络抵制相互作用的能力越强,且区分度越明显,但也会增强级联故障子过程的破坏力。当平均度较小时,三角连接概率越大,网络抵制相互作用的能力越弱。当平均度较大时,不同三角连接概率对应的网络抵制相互作用的效果相似。仿真结果表明,对比单一病毒传播模型,相互作用模型在同一时刻的破坏力更大。
[Abstract]:In order to study the effect of clustering coefficient on the interaction between virus propagation and cascade fault, an improved model of virus propagation and cascade fault interaction is proposed. By changing the average degree and triangulation probability, the network clustering coefficient is adjusted to observe the interaction between virus propagation and cascading faults. When the triangulation probability is not considered, the smaller the average degree, the stronger the ability of resisting the interaction, and the more distinct the discrimination, but the more destructive force of the cascade fault sub-process is also enhanced. When the average is small, the greater the triangulation probability is, the weaker the network is to resist the interaction. When the average degree is high, the effect of resisting interaction between different triangulation probabilities is similar. The simulation results show that the interaction model is more destructive than the single virus transmission model at the same time.
【作者单位】： 上海外国语大学贤达经济人文学院;许继集团有限公司发电产品研发中心;广东工业大学计算机学院;
【基金】：广东省科技计划项目(2012B091000173)
【分类号】：TP393.08
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本文编号：1953991