Information Spreading on Weighted Multiplex Social Network

Figure 5

Illustrations of the growth pattern of on the parameter plane on the ER-ER weighted multiplex network. According to the theoretical method, the final adoption size versus the parameter pair was obtained. The results are plotted in subgraphs (a), (b), and (c) from row 1 with ; (d), (e), and (f) from row 2 with ; and (g), (h), and (i) from row 3 with . The subgraphs have weight distribution exponents of , in column 1; , in column 2; and , in column 3. All subgraphs show that a critical seed size exists, under which no global adoption of information exists and over which a global adoption becomes possible. Additionally, the changes in the subgraphs from the first column to the third confirm that increase the weight distribution exponents (decreasing weight distribution heterogeneity) can promote information spreading. The basic parameters are , , , , and .

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