Reference to Global State and Social Contagion Dynamics

The network-based model of social contagion has revolved around information on local interactions; its central focus been network topological properties shaping the interactions and, ultimately, outcomes. We extend this approach by introducing global state, or information, into and analyzing how it alters dynamics in six different classes networks: a two-dimensional square lattice, small-world networks, Erd?s-Rényi regular random Holme-Kim Barabási-Albert networks. find that there is an optimal amount minimizes time to reach cascades highly clustered also prolongs hit tipping point but substantially compresses after then, so overall can even be shortened under certain conditions. Finally, we show links substitute for regulating dynamics.