Complexity / 2019 / Article / Fig 2

Research Article

Information Spreading on Weighted Multiplex Social Network

Figure 2

Time evolutions of node densities in three states (S-state, A-state, and R-state) on the ER-ER weighted multiplex network, under different weight distribution exponents and . To unveil the effect of the threshold and seed size, two groups of subgraphs with and are shown in the top and bottom panels, respectively. Under the same information transmission unit probability β, subgraphs (a), (b), and (c) from the top panel have similar parameters of , ; , ; and , with (e), (f), and (g), respectively. Particularly, subgraphs (d) and (h) emphasize the time evolution of the R-state node density under different weight distribution exponents. In both panels, despite the different thresholds and seed sizes, at the same time step, the density of nodes in the R-state under exceeds other densities under and . These phenomena suggest that large weight distribution exponents (small weight distribution heterogeneity) facilitate information spreading. The basic parameters are , , , , and .

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