Resilience of Multi-Layer Network System under Multi-Event Disturbance
Publication: International Conference on Transportation and Development 2022
ABSTRACT
With the development of the Internet of Things, individual independent network systems are gradually combined into multi-layer integrated network systems. The disturbance events affect the single system network and correlate the performance of the whole network system. The superposition of different disturbance events can have a severe impact on the performance of the entire network system, so it is important to study the disturbance impact of multi-layer network systems under the superposition of unexpected events. In this paper, we establish a multi-layer network system resilience system under multiple event disturbances based on complex network theory, using multi-layer network characteristic indicators as the measurement indexes and combining various disorders. The multi-layer network resilience system provides the basis for emergency management measures under emergency events.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Agryzkov, T., Curado, M., Pedroche, F., Tortosa, L., and Vicent, J. F. (2019). Extending the adapted PageRank algorithm centrality to multiplex networks with data using the PageRank two-layer approach. Symmetry, 11(2), 1–17. https://doi.org/10.3390/SYM11020284.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., and Hwang, D. U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424(4–5), 175–308. https://doi.org/10.1016/j.physrep.2005.10.009.
Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., and Havlin, S. (2010). Catastrophic cascade of failures in interdependent networks. Nature, 464(7291), 1025–1028. https://doi.org/10.1038/nature08932.
Battiston, F., Nicosia, V., and Latora, V. (2014). Structural measures for multiplex networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 89(3), 1–14. https://doi.org/10.1103/PhysRevE.89.032804.
Battiston, F., Nicosia, V., and Latora, V. (2017). The new challenges of multiplex networks: Measures and models. European Physical Journal: Special Topics, 226(3), 401–416. https://doi.org/10.1140/epjst/e2016-60274-8.
Bombelli, A., Santos, B. F., and Tavasszy, L. (2020). Analysis of the air cargo transport network using a complex network theory perspective. Transportation Research Part E: Logistics and Transportation Review, 138(April), 101959. https://doi.org/10.1016/j.tre.2020.101959.
Cardillo, A., Zanin, M., Gómez-Gardeñes, J., Romance, M., García del Amo, A. J., and Boccaletti, S. (2013). Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures. European Physical Journal: Special Topics, 215(1), 23–33. https://doi.org/10.1140/epjst/e2013-01712-8.
Chen, Z., Zhang, G., Gao, X., and Dong, Y. (2019). Research on the damage resistance of air transportation network based on complex network theory. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 76–81. https://doi.org/10.1145/3377458.3377469.
Du, W. B., Zhou, X. L., Lordan, O., Wang, Z., Zhao, C., and Zhu, Y. B. (2016). Analysis of the Chinese Airline Network as multi-layer networks. Transportation Research Part E: Logistics and Transportation Review, 89, 108–116. https://doi.org/10.1016/j.tre.2016.03.009.
Ding, R., Ujang, N., Hamid, H. B., Manan, M. S. A., He, Y., Li, R., and Wu, J. (2018). Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks. Physica A: Statistical Mechanics and Its Applications, 503, 800–817. https://doi.org/10.1016/j.physa.2018.02.059.
Du, J. (2019). Research on the evaluation method of road network post-earthquake recoverability. [China Earthquake Administration]. https://doi.org/10.27490/d.cnki.ggjgy.2019.000011.
Fangqu, N., and Jun, L. (2019). Visualizing the intercity highway network in Mainland China. Environment and Planning A, 51(6), 1213–1216. https://doi.org/10.1177/0308518X18806004.
Guo, J., Li, Y., Yang, Z., and Zhu, X. (2021). Quantitative method for resilience assessment framework of airport network during COVID-19. Plos One, 16(12), e0260940. https://doi.org/10.1371/journal.pone.0260940.
Holme, P., Kim, B. J., Yoon, C. N., and Han, S. K. (2002). Attack vulnerability of complex networks. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 65(5), 14. https://doi.org/10.1103/PhysRevE.65.056109.
Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., and Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. https://doi.org/10.1093/comnet/cnu016.
Li, L. (2016). Research on the reliability of urban road traffic network based on complex network theory. Lanzhou Jiaotong University.
Newman, M. E. J. (2010). Networks—An Introduction. In Oxford University Press.
Mu, N., Kang, Q., and Jia, C. (2020). Vulnerability assessment of urban express networks under influence of emergencies. China Safety Science Journa, 30(12), 125–132.
Rahmede, C., Iacovacci, J., Arenas, A., and Bianconi, G. (2018). Centralities of nodes and influences of layers in large multiplex networks. Journal of Complex Networks, 6(5), 733–752. https://doi.org/10.1093/comnet/cnx050.
State Council. (2021). “National comprehensive multi-dimensional transportation network planning outline”. < http://www.gov.cn/zhengce/2021-02/24/content_5588654.htm>(Jan.23,2022).
Sun, X., and Si, S. (2015). Complex Network Algorithm and Application. In National Defense Industry Press.
Vespignani, A., Barrat, A., Barthe, M., and Data, W. N. (2004). The architecture of complex weighted networks. Quality.
Wang, W., Cai, K., Du, W., Wu, X., Tong, L. C., Zhu, X., and Cao, X. (2020). Analysis of the Chinese railway system as a complex network. Chaos, Solitons and Fractals, 130, 109408. https://doi.org/10.1016/j.chaos.2019.109408.
Wang, X., and Yang, L. (2020). Resilience Measurement and Analysis of Aviation Multi-Layer Network. Complex Systems and Complexity Science, 17, 31–38.
Wang, Y., Yang, Z., Liu, K., and Xie, C. (2022). Flight operation risk propagation and control based on a directional-weighted complex network. Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 44(1), 114–121. https://doi.org/10.13374/j.issn2095-9389.2020.06.15.002.
Zhang, X. (2015). Multilayer Networks Science: Concepts, Theories and Data. Complex Systems and Complexity Science, 12, 103–107.
Zhang, J., Wang, S., and Wang, X. (2018). Comparison analysis on vulnerability of metro networks based on complex network. Physica A: Statistical Mechanics and Its Applications, 496, 72–78. https://doi.org/10.1016/j.physa.2017.12.094.
Information & Authors
Information
Published In
History
Published online: Aug 31, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.