Information spreading on multirelational networks

The spreading dynamics of information has attracted much attention in recent years, yet the effects of multirelational networks have not been systematically studied. In this paper, we propose an information spreading model on multirelational networks, in which assumes that the information transmitted through friend relationships induces the susceptible nodes to become infected, while the information transmitted through hostile relationships proves vaccination to susceptible nodes. Through extensive numerical simulations, we find that the information spreading is suppressed on multirelational networks especially when the average degree of hostile network is large. However the information outbreak threshold is only dependent on the topology of friend network. The above phenomena are quantificationally predicted by a generalized edge-based compartmental theory.