Ego-zones: non-symmetric dependencies reveal network groups with large and dense overlaps

Applied Network Science

Table 6 Properties of generated networks

Network	n	m	Degree		CC	Strong-prominents		Weak-prominents		Modularity
			Max	Avg		Total	Percent	Total	Percent
BA ₃	10000	29991	1319	5.998	0.059	516	5.1	16	0.3	0.380
BA ₄	10000	39984	1877	7.996	0.106	133	1.3	7	0.7	0.301
TC _{0.7 2}	10000	19996	40	3.999	0.463	3044	30.4	1314	13.1	0.809
TC _{0.7 3}	10000	29991	83	5.998	0.375	3679	36.7	1019	10.1	0.675
TC _{0.7 4}	10000	39984	117	7.996	0.314	3124	31.2	499	4.9	0.572
TC _{0.97 2}	10000	19996	88	3.999	0.669	2093	20.9	1619	16.9	0.945
TC _{0.97 3}	10000	29991	117	5.998	0.618	2472	24.7	2404	24.0	0.899
TC _{0.97 4}	10000	39984	193	7.996	0.581	2730	27.3	2355	23.5	0.793
ER _0.0005	9936	25109	15	5.054	0.001	1702	17.1	0	0	0.439
ER _0.001	10000	49957	23	9.991	0.001	45	4.5	0	0	0.259
football	115	613	12	10.660	0.404	4	3.4	0	0	0.604

When compared to the three small networks (see Table 1), a higher proportion of prominent nodes was found for the TC model, where the networks have a community structure represented by a high modularity value