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The weakness of weak ties for novel information diffusion

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Figure

Fig. 1 Proportion of network that remains uninformed by each timestep in simulated information spread onptwo real social networks, taking ethnic group as the relevant type
Table 1 Model parameters
Fig. 2 Proportion of network informed by each timestep in simulated information spread on a network withhomophily = 0, random ties will not change neighborhood compositions on average, so the jump effectdominates and increasing density strictly improves in
Fig. 3 Proportion of network informed by each timestep in simulated information spread on a network withhomophily is positive, increasing density changes neighborhood compositions and strictly impedesinformation diffusion; at this lower value ofτ = {τ 1, τ
+3

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