Revealing the component structure of the world air transportation network

Applied Network Science

Table 6 Basic topological properties of the significant small local components (size greater than five airports)

Location	N	\|E\|	d	L	L _rand	C	C _rand	μ	ζ	λ	η
Canada	60	80	12	5	3.77	0.28	0.05	0.045	0.2	\(-\)0.18	0.18
Canada	25	27	5	2.45	3.38	0.17	0.108	0.09	0.056	\(-\)0.57	0.7
Alaska	29	33	6	2.8	3.20	0.2	0.065	0.08	0.07	\(-\)0.56	0.68
Alaska	27	37	5	2.5	3.2	0.45	0.037	0.11	0.17	\(-\)0.38	0.62
Alaska	27	40	4	2.4	2.80	0.6	0.078	0.11	0.24	\(-\)0.44	0.54
Alaska	14	15	4	2,25	2.74	0.08	0.217	0.16	0.063	\(-\)0.63	0.62
Alaska	8	6	3	0.6	2.35	0.04	0.112	0.21	0	\(-\)0.75	0.5
Norway	25	49	4	2.37	2.37	0.68	0.142	0.16	0.39	\(-\)0.43	0.5
Greenland	10	14	4	2	2.08	0.49	0.229	0.31	0.38	\(-\)0.4	0.67
Scotland	7	11	2	1.47	1.57	0	0.523	0.52	0.5	\(-\)0.47	1
Algeria	9	10	4	2	1.78	0	0.33	0.28	0	\(-\)0.73	0.5
Kenya	6	5	3	1.86	2.06	0	0	0.33	0	\(-\)0.74	0.8

N is the network size. |E| is the number of edges. d is the diameter. L is the average shortest path length. \(L_{rand}\) and \(C_{rand}\) are respectively the average shortest path and the average clustering coefficient of the corresponding random network. \(\mu\) is the density. \(\zeta\) is the transitivity. \(\lambda\) is the assortativity also called degree correlation coefficient. \(\eta\) is the hub dominance