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基于SIR模型的最小支配集溯源研究

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论文研究了在SIR模型基础上,通过有限的观测者定位谣言爆发来源的估计问题。出于对观测节点遍历性的考虑,论文利用贪婪算法求取图的最小支配集作为观测节点,通过观测节点记录感染信息,然后利用皮尔逊相关系数,计算每个候选节点到观测节点的最短路径和其感染时间序列之间的相关性,相关性最高的判定为源节点。最后在仿真实验中验证了算法的准确性。
Research on Source Location of Minimum Dominating Set Based on SIR Model
The estimation problem of locating the source of rumor outbreak through limited observers is studied based on SIR model.Considering the ergodicity of the observer nodes,greedy algorithm algorithm is used to obtain the minimum dominating set of the graph as the observer nodes,record the infection information through the observer nodes,and then the Pearson correlation coeffi-cient is used to calculate the correlation between the shortest path from each candidate node to the observer nodes and its infection time series.The node with the highest correlation is determined as the source node.Finally,the accuracy of the algorithm is verified in the simulation experiment.

SIR modellocating sourceminimum dominating setobserver nodes

赵佳楠、王友国、柴允

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南京邮电大学通信与信息工程学院 南京 210003

南京邮电大学理学院 南京 210046

传染病模型 溯源 最小支配集 观测节点

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(7)