| PHYSICS AND ENGINEERING PHYSICS |
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Information transfer efficiency based small-world assessment methodology for metro networks |
| WANG Zhiru1, SU Guofeng1, LIANG Zuolun2 |
1. Institution of Public Safety, Tsinghua University, Beijing 100084, China;
2. The 14th Institution of Nanjing, Electronic Technology Group Corporation, Nanjing 210031, China |
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Abstract This study presents an improved algorithm for the clustering coefficient in a metro network model. The algorithm is based on the information transfer efficiency that considers the differences between the directly and indirectly connected origin-to-destination stations. The algorithm was evaluated using 52 metro networks in the world. The information transfer efficiency based clustering coefficients for the 52 metro networks are between 0.195 and 0.407 (average 0.29), which is lower than the value given by P-Space (Space-of-Stops), but still considerably higher than the values for random networks (0.01 to 0.16, the average is 0.06) with the same size. Therefore, metro networks are small-world networks, although with a stricter evaluation model.
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| Keywords
metro network
small-world
clustering coefficients
efficiency
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Issue Date: 15 April 2016
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2016,
Vol. 56
