Co-occurrence network of TV advertisements revealing Japanese lifestyle

Applied Network Science

Table 2 Feature of the co-occurrence network of each year

Year	# nodes	# edges	Density	Mean degree	Mean strength	# com	Q
2006	20,980	79,095	\(3.59\times 10^{-4}\)	7.54	0.06	751	0.38
2007	18,915	84,788	\(4.74\times 10^{-4}\)	8.97	0.08	433	0.34
2008	17,383	88,294	\(5.84\times 10^{-4}\)	10.16	0.09	263	0.31
2009	16,926	95,191	\(6.65\times 10^{-4}\)	11.25	0.11	147	0.30
2010	19,110	125,658	\(6.88\times 10^{-4}\)	13.15	0.12	82	0.28
2011	20,275	135,329	\(6.58\times 10^{-4}\)	13.35	0.12	116	0.30
2012	22,491	147,912	\(5.85\times 10^{-4}\)	13.15	0.12	156	0.32
2013	22,524	148,693	\(5.86\times 10^{-4}\)	13.20	0.12	118	0.32
2014	22,597	149,861	\(5.87\times 10^{-4}\)	13.26	0.12	133	0.33
2015	30,811	236,738	\(4.99\times 10^{-4}\)	15.37	0.14	151	0.36
2016	37,107	303,259	\(4.40\times 10^{-4}\)	16.35	0.14	177	0.37
2017	36,312	328,386	\(4.98\times 10^{-4}\)	18.09	0.16	120	0.35
2018	35,121	371,264	\(6.02\times 10^{-4}\)	21.14	0.19	66	0.30
2019	32,766	371,899	\(6.93\times 10^{-4}\)	22.70	0.21	52	0.28
2020	19,895	211,498	\(1.07\times 10^{-3}\)	21.26	0.20	33	0.28

The network size, number of edges, edge density, mean degree and strength, number of communities, and modularity of community detection are exhibited