Applied Network Science

Table 2 Statistical properties of Rio de Janeiro’s mobility network

From: How do urban mobility (geo)graph’s topological properties fill a map?

	<k>	<c>	<l>	D
4.7E-5	58.4	0.28	1.94	4
4.7E-2	2.00	0.23	5.63	14
0.06	1.27	0.2	6.6	17
0.2	0.12	0	1.93	4
0.24	0.09	0	1.93	4

Each collum represents a topological measure: <k> is the average degree, <c> is the average clustering coeficiente, <l> is the average shortest path length and D is the diameter of the network; and each line brings a threshold: from smaller to higher values

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