2024
DOI: 10.7498/aps.73.20231416
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Identifying influential nodes in spreading process in higher-order networks

Jiang Li,
Ying Liu,
Wei Wang
et al.

Abstract: Identifying the most influential nodes in spreading on the network is an important step to control the speed and range of spreading, which can be applied to accelerate the spread of beneficial information such as healthy behaviors, innovations and suppress the spread of epidemics, rumors, fake news. Existing researches on identification of influential spreaders are mostly based on low-order complex networks with pairwise interactions. However, interactions between individuals occur not only between pairwise no… Show more

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Cited by 1 publication
(2 citation statements)
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References 46 publications
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“…当考虑1到D阶单纯复形相互作用时, 式(40) 可写为: 例2. 当网络尺寸增大时, 上述方法依然可以 有效地识别网络中的对称节点, 并且对揭示网络中 的遥同步现象具有重要的意义 [30] , 结果如图4所 示. 首先, 考虑一个由12个节点组成的网络, 其中 节点1-节点10构成全连接网络, 节点11和12随 通过式 (28), 我们得到了预测的广义拉普拉斯 矩阵L:…”
Section: (40)unclassified
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“…当考虑1到D阶单纯复形相互作用时, 式(40) 可写为: 例2. 当网络尺寸增大时, 上述方法依然可以 有效地识别网络中的对称节点, 并且对揭示网络中 的遥同步现象具有重要的意义 [30] , 结果如图4所 示. 首先, 考虑一个由12个节点组成的网络, 其中 节点1-节点10构成全连接网络, 节点11和12随 通过式 (28), 我们得到了预测的广义拉普拉斯 矩阵L:…”
Section: (40)unclassified
“…基于非线性相位同步的概念 [23] , 比直接相连的节点间提前出现的遥同步 [25,26] , 耦合 强度弱的一对节点比耦合强度强的一对节点优先 出现的弱赢家相位同步 [27] , 全同节点出现了同步 与非同步混合的奇异态 [28,29] 等. 有研究表明 [30] , 基于 遥同步的思想, 利用一阶Kuramoto模型发现了网…”
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