Social network analysis of manga: similarities to real-world social networks and trends over decades

Applied Network Science

Table 1 Structural properties of character networks for 162 manga

	N	M	\(\langle s \rangle\)	\(s_{\mathrm{CV}}\)	\(s_{\mathrm{P}}\)	\(\langle k \rangle\)	\(k_{\mathrm{CV}}\)	\(k_{\mathrm{P}}/(N-1)\)	r	C
Mean	32.6	156	142	1.55	831	9.08	0.717	0.899	−0.345	0.790
Std	16.6	129	95.6	0.400	325	3.64	0.250	0.103	0.123	0.0558
Min	8	19	22.7	0.723	282	3.02	0.299	0.494	−0.624	0.598
Max	124	950	919	3.22	2380	28.0	1.91	1	0.192	0.914

N: number of nodes, M: number of edges, \(\langle s \rangle\): average strength, \(s_{\mathrm{CV}}\): CV of the node strength, \(s_{\mathrm{p}}\): strength of the protagonist, \(\langle k \rangle\): average degree, \(k_{\mathrm{CV}}\): CV of the degree, \(k_{\mathrm{p}}/(N-1)\): normalized degree of the protagonist, r: degree assortativity coefficient, and C: clustering coefficient