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A spatial weighted network model based on optimal expected traffic

Author

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  • Qian, Jiang-Hai
  • Han, Ding-Ding

Abstract

We propose a spatial weighted network model based on the optimal expected traffic. The expected traffic represents the prediction of the flow created by two vertices and is calculated by the improved gravity equation. The model maximizes the total expected traffic of the network. By changing two parameters which control the fitness and the geographical constraints, the model can vary its topology and give rise to a variety of statistical properties observed in the real-world network. Notably, our study shows that a linear and a nonlinear strength–degree correlation can emerge when considering and neglecting the “transport effect”, respectively.

Suggested Citation

  • Qian, Jiang-Hai & Han, Ding-Ding, 2009. "A spatial weighted network model based on optimal expected traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4248-4258.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:19:p:4248-4258
    DOI: 10.1016/j.physa.2009.05.047
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    Citations

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    Cited by:

    1. Zhang, Yaping & Peng, Ting & Fu, Chuanyun & Cheng, Shaowu, 2016. "Simulation analysis of factors affecting air route connection in China," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 12-20.
    2. Sean Wilkinson & Sarah Dunn & Shu Ma, 2012. "The vulnerability of the European air traffic network to spatial hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(3), pages 1027-1036, February.
    3. Maniadakis, Dimitris & Varoutas, Dimitris, 2014. "Network congestion analysis of gravity generated models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 114-127.

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