Dynamics analysis for the hour-scale based time-varying characteristic of topology complexity in a weighted urban rail transit network

Lin Zhang, Jian Lu, Bai-bai Fu and Shu-bin Li

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: In the methodology of urban rail transit network (URTN), the study on the hour-scale based time-varying characteristic of topology complexity (HTCTC) dynamics is a missing part. This paper proves the existence of HTCTC and analyzes its dynamics through establishing the testing framework in Nanjing’s weighted URTN. Furthermore, a novel network structure entropy based on station strength that characterizes the uniformity of energy distribution is proposed for capturing and understanding the HTCTC dynamics. Its availability is proved by conducting Pearson correlation analysis between it and a series of traditional weighted topology complexity indicators. This programmed analytical framework can contribute to improving the processible time and space scales of complex system, and can be widely applied to other cities.

Keywords: Urban rail transit network; Network structure entropy; Complex network theory; Time-varying characteristic of topology complexity; Dynamics (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307460

DOI: 10.1016/j.physa.2019.121280

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