Promoting spreading dynamics in networked systems is of both theoretical and practical importance. In this study, we propose an effective edge-based approach for promoting the spreading dynamics of the susceptible-infected-recovered model on complex networks by adding connections that do not exist in the original networks. Specifically, we first quantify the influence of each latent edge (that is, each edge that does not exist or activated before) by a mathematical model. Then, we strategically add the latent edges to the original networks according to the influence of each latent edge. It should be mentioned that our strategy incorporates both the information of network structure and spreading dynamics. We verify the effectiveness of our strategy by extensive numerical simulations and prove that our strategy outperforms those approaches that only consider the network structure . Besides, the theoretical framework established in this study provides inspirations for the further investigations of edge-based promoting strategies for other spreading models.
Promoting spreading dynamics in networked systems is of both theoretical and practical importance. In this study, we propose an effective edge-based strategy to promote the spreading dynamics of the susceptible-infected-recovered model on complex networks by adding latent edges (that is, edges that do not exist before) to the networks. Specifically, we first quantify the influence of each latent edge by a mathematical model. Then, we strategically add the latent edges to the original networks according to the influence of each latent edge. The result of numerical simulations verifies the effectiveness of our strategy and demonstrates that our strategy outperforms certain static strategies, namely, adding the latent edges between nodes with the largest degree or eigenvector centrality. This study fills up the research blankness of promoting the SIR spreading dynamics by structural perturbations to some extent . Besides, the theoretical framework established in this study provides inspirations for the further investigations of edge-based promoting strategies for other spreading models.
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approach for promoting
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connections that
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It should be mentioned that our strategy incorporates both the information of network structure and spreading dynamics. We verify
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by extensive numerical simulations and prove
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those approaches that only consider the network structure
certain static strategies, namely, adding the latent edges between nodes with the largest degree or eigenvector centrality. This study fills up the research blankness of promoting the SIR spreading dynamics by structural perturbations to some extent