Structure-Aware Optimal Intervention for Rumor Dynamics on Networks: Node-Level, Time-Varying, and Resource-Constrained

Fuente: arXiv
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Main Authors: Zhu, Yan, Liu, Qingyang, Guo, Chang, Fan, Tianlong, Lü, Linyuan
Format: Preprint
Published: 2025
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_version_ 1866914126753693696
author Zhu, Yan
Liu, Qingyang
Guo, Chang
Fan, Tianlong
Lü, Linyuan
author_facet Zhu, Yan
Liu, Qingyang
Guo, Chang
Fan, Tianlong
Lü, Linyuan
contents Rumor propagation in social networks undermines social stability and public trust, calling for interventions that are both effective and resource-efficient. We develop a node-level, time-varying optimal intervention framework that allocates limited resources according to the evolving diffusion state. Unlike static, centrality-based heuristics, our approach derives control weights by solving a resource-constrained optimal control problem tightly coupled to the network structure. Across synthetic and real-world networks, the method consistently lowers both the infection peak and the cumulative infection area relative to uniform and centrality-based static allocations. Moreover, it reveals a stage-aware law: early resources prioritize influential hubs to curb rapid spread, whereas later resources shift to peripheral nodes to eliminate residual transmission. By integrating global efficiency with fine-grained adaptability, the framework offers a scalable and interpretable paradigm for misinformation management and crisis response.
format Preprint
id arxiv_https___arxiv_org_abs_2510_27165
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Structure-Aware Optimal Intervention for Rumor Dynamics on Networks: Node-Level, Time-Varying, and Resource-Constrained
Zhu, Yan
Liu, Qingyang
Guo, Chang
Fan, Tianlong
Lü, Linyuan
Social and Information Networks
90C30, 92D30
F.2.2; I.2.7
Rumor propagation in social networks undermines social stability and public trust, calling for interventions that are both effective and resource-efficient. We develop a node-level, time-varying optimal intervention framework that allocates limited resources according to the evolving diffusion state. Unlike static, centrality-based heuristics, our approach derives control weights by solving a resource-constrained optimal control problem tightly coupled to the network structure. Across synthetic and real-world networks, the method consistently lowers both the infection peak and the cumulative infection area relative to uniform and centrality-based static allocations. Moreover, it reveals a stage-aware law: early resources prioritize influential hubs to curb rapid spread, whereas later resources shift to peripheral nodes to eliminate residual transmission. By integrating global efficiency with fine-grained adaptability, the framework offers a scalable and interpretable paradigm for misinformation management and crisis response.
title Structure-Aware Optimal Intervention for Rumor Dynamics on Networks: Node-Level, Time-Varying, and Resource-Constrained
topic Social and Information Networks
90C30, 92D30
F.2.2; I.2.7
url https://arxiv.org/abs/2510.27165