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Table 1 Basic network statistics

From: Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas

City |V| |E| p 1 p 2 p 3 p 4 p >4 C L
Aichi 259,915 402,465 .065 .070 .574 .285 .006 0.04 98.71
Barcelona 66,790 99,387 .103 .031 .659 .201 .006 0.06 53.07
Brasilia 95,811 136,955 .133 .025 .694 .146 .002 0.04 92.94
Chiba 227,791 335,564 .116 .003 .703 .177 .002 0.04 99.73
Ibaraki 172,892 263,075 .083 .002 .708 .205 .003 0.04 111.02
Kanagawa 295,151 402,576 .192 .051 .597 .155 .005 0.04 129.17
Kyoto 88,800 128,601 .099 .090 .633 .174 .004 0.07 103.43
New York 325,962 466,510 .159 .033 .600 .204 .004 0.04 103.14
Osaka 261,939 375,750 .133 .066 .606 .190 .006 0.05 91.32
Saitama 230,408 351,811 .084 .001 .695 .217 .003 0.04 81.04
San Francisco 110,700 156,821 .173 .037 .583 .199 .009 0.05 79.43
Seoul 103,444 150,822 .111 .078 .605 .198 .008 0.04 43.99
Shizuoka 110,925 162,322 .121 .070 .576 .228 .005 0.05 83.09
Tokyo 340,919 485,858 .163 .034 .599 .197 .006 0.03 126.19
Washington D.C. 24,564 38,053 .096 .028 .571 .293 .012 0.05 51.89