Abstract
The network-based cooperative information spreading is a widely existing phenomenon in the real world. For instance, the spreading of disease outbreak news and disease prevention information often coexist and interact with each other on the Internet. Promoting the cooperative spreading of information in network-based systems is a subject of great importance in both theoretical and practical perspectives. However, very limited attention has been paid to this specific research area so far. In this study, we propose an effective approach for identifying the influential latent edges (that is, the edges that do not originally exist) which, if added to the original network, can promote the cooperative susceptible-infected-recovered (co-SIR) dynamics. To be specific, we first obtain the probabilities of each nodes being in different node states by the message-passing approach. Then, based on the state probabilities of nodes obtained, we come up with an indicator, which incorporates both the information of network topology and the co-SIR dynamics, to measure the influence of each latent edge in promoting the co-SIR dynamics. Thus, the most influential latent edges can be located after ranking all the latent edges according to their quantified influence. We verify the rationality and superiority of the proposed indicator in identifying the influential latent edges of both synthetic and real-world networks by extensive numerical simulations. This study provides an effective approach to identify the influential latent edges for promoting the network-based co-SIR information spreading model and offers inspirations for further research on intervening the cooperative spreading dynamics from the perspective of performing network structural perturbations.
Highlights
Academic Editor: Chenquan Gan e network-based cooperative information spreading is a widely existing phenomenon in the real world
To raise the interest of researchers to fill up this research blankness, in this study, we propose an effective approach to identify the influential latent edges which can promote the cooperative susceptible-infected-recovered dynamics [50] if added to the original networks. e co-SIR model is first proposed to study the cooperative epidemic spreading
Cooperative information spreading on networked systems is a common phenomenon in the real world. e study of promoting the network-based cooperative spreading dynamics is of both theoretical and practical importance
Summary
Received 14 December 2020; Revised 13 January 2021; Accepted 15 March 2021; Published 24 March 2021. We propose an effective approach for identifying the influential latent edges (that is, the edges that do not originally exist) which, if added to the original network, can promote the cooperative susceptible-infected-recovered (co-SIR) dynamics. Is study provides an effective approach to identify the influential latent edges for promoting the network-based co-SIR information spreading model and offers inspirations for further research on intervening the cooperative spreading dynamics from the perspective of performing network structural perturbations. To raise the interest of researchers to fill up this research blankness, in this study, we propose an effective approach to identify the influential latent edges which can promote the cooperative susceptible-infected-recovered (co-SIR) dynamics [50] if added to the original networks. At the beginning of each discrete-time step, for each node i and each one of its neighbor j, if i is informed with dynamics a (or b) alone and susceptible with respect to the other, i will transmit the information a (or b) to j with probability λa(or λb). at is to say, in this case, the state of node j will be updated according to the following transition rules:
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