Fig. 4

Comparison between the original and randomized character networks for 162 manga. For the randomized networks, we show the mean and standard deviation on the basis of 1,000 realizations by the circle and error bar, respectively. A \(\langle s \rangle\): average node strength. B \(s_{\mathrm{CV}}\): CV of the node strength. C \(s_{\mathrm{p}}\): strength of the protagonist. D \(\langle k \rangle\): average degree. E \(k_{\mathrm{CV}}\): CV of the degree. F \(k_{\mathrm{p}}/(N-1)\): normalized degree of the protagonist. G \(\alpha\): coefficient in the relationships between the degree and strength, i.e., \(s_i \propto k_i^{\alpha }\). H r: degree assortativity coefficient. I C: clustering coefficient. J \(\tau _{\mathrm{CV}}^{\mathrm{node}}\): CV of IETs on nodes. K \(\tau _\mathrm{CV}^{\mathrm{edge}}\): CV of IETs on edges. L \(N_\mathrm{I}/{\overline{N}}_{(L)}\): final epidemic size (i.e., fraction of infected nodes at the last time step)