  Promoting some typical spreading dynamics, for instance, the spreading of
information, commercial message, vaccination guidance, innovation, and
political movement, can bring benefits to all aspects of the socio-economic
systems. In this study, we propose a strategy for promoting the spreading of
the susceptible-infected-recovered model, which is widely applied to describe
these common spreading dynamics in real life. Specifically, we first quantify
the potential influence that the addition of each latent edge (that is, edges
that do not exist before) could cause to the spreading dynamics. Then, we
strategically add the latent edges to the original networks according to the
potential influence of each latent edge. Numerical simulations verify the
effectiveness of our strategy and demonstrate that our strategy outperforms
several static strategies, namely, adding the latent edges between nodes with
the largest degree or eigenvector centrality. This study provides an effective
way of promoting the spreading of the susceptible-infected-recovered model by
modifying the network structure slightly and helps in understanding what a
better network structure for the spreading dynamics is. Besides, the
theoretical framework established in this study provides inspirations for the
further investigations of edge-based promoting strategies for other spreading
models.
