CHI Li-Ping1, WANG Ru2, SU Hang2, XU Xin-Ping2, ZHAO Jin-Song2, LI Wei1,3, CAI Xu1
1Institute of Particle Physics, Huazhong Normal University, Wuhan 430079
2Department of Physics, Huazhong Normal University, Wuhan 430079
3Max-Planck Institute for Mathematics in the Sciences, Inselstr. 22, D-04103, Leipzig, Germany
Structural Properties of US Flight Network
CHI Li-Ping1;WANG Ru2;SU Hang2;XU Xin-Ping2;ZHAO Jin-Song2;LI Wei1,3;CAI Xu1
1Institute of Particle Physics, Huazhong Normal University, Wuhan 430079
2Department of Physics, Huazhong Normal University, Wuhan 430079
3Max-Planck Institute for Mathematics in the Sciences, Inselstr. 22, D-04103, Leipzig, Germany
Abstract: We analyse the directed, weighted and evolutionary US flight network, in which vertices are the airports and the flights connecting two airports represent the edges. It is shown that such a network displays two important features recently found in small-world networks. First, the average shortest-path length is 2.4 s, the clustering coefficient of the entire network, 0.618, is greatly larger than that of the random networks with the same N (system size) and (average degree), 0.065. We study the detailed flight information both in a week and on a whole. In both the cases, using the Pareto distributions, we find the degree distributions follow two-segment power laws. The weight distributions have power-law tails with the exponents of around 2, and the clustering coefficient distributions follow linear distributions.
CHI Li-Ping;WANG Ru;SU Hang;XU Xin-Ping;ZHAO Jin-Song;LI Wei;CAI Xu. Structural Properties of US Flight Network[J]. 中国物理快报, 2003, 20(8): 1393-1396.
CHI Li-Ping, WANG Ru, SU Hang, XU Xin-Ping, ZHAO Jin-Song, LI Wei, CAI Xu. Structural Properties of US Flight Network. Chin. Phys. Lett., 2003, 20(8): 1393-1396.