Skip to main content
Fig. 9 | Applied Network Science

Fig. 9

From: Information access equality on generative models of complex networks

Fig. 9

Information spreading efficiency of different generative models of complex networks. We inspect information access efficiency by looking at the time needed to reach 100% of the nodes. The x-axis is the time (in the number of iterations) needed to reach 100% of the nodes. The y-axis is the different generative models. We show the average and standard deviation values of the time needed for 100% outreach across 100K runs for each model and each spreading process. On average, more time is needed with asymmetric transition. Diversified Homophily and Diversified Homophily BA are, on average, slower in spreading information than other models (especially with a complex contagion). This is due to their inter-group edges. With complex contagion, the standard deviation on time for 100% outreach is larger for Diversified Homophily BA. We conjecture that this is due to the fact that hubs become bottlenecks in complex contagion and Diversified Homophily BA enforces diversification. The hyperparameters used here are the same as in Experiment 1: \(p_d = 0.6\), \(h = 0.8\), \(\alpha = 1\), and \(m = 20\%\). For a heatmap view of efficiency in information spreading of different generative models, see the Additional file 1.

Back to article page