IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v421y2015icp34-43.html
   My bibliography  Save this article

Analyzing the structure of earthquake network by k-core decomposition

Author

Listed:
  • He, Xuan
  • Zhao, Hai
  • Cai, Wei
  • Li, Guang-Guang
  • Pei, Fan-Dong

Abstract

Earthquake network is a novel methodology to analyze the relationships among the earthquake events. k-core decomposition is one of the common measures to identify the most important nodes in complex networks. In this paper, we first verify the hierarchical structure of the earthquake network, which is constructed by the method based on space–time influence domain, and use the k-core decomposition to visualize the topology in order to figure out the structure and the central part of earthquake networks. On observation of the evolution of the maximum coreness, it is found that it has some sudden changes with the occurrence of major shocks. The highest core, which has high clustering characteristic, is tend to be located in the area that can directly or indirectly cause the major shocks. By comparing the energy distribution in each shell, we find that the energy proportion of the highest core is high, especially before the major shocks.

Suggested Citation

  • He, Xuan & Zhao, Hai & Cai, Wei & Li, Guang-Guang & Pei, Fan-Dong, 2015. "Analyzing the structure of earthquake network by k-core decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 34-43.
    • Handle: RePEc:eee:phsmap:v:421:y:2015:i:c:p:34-43
    DOI: 10.1016/j.physa.2014.11.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711400973X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2014.11.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Hui & Zhao, Hai & Cai, Wei & Xu, Jiu-Qiang & Ai, Jun, 2013. "A modular attachment mechanism for software network evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2025-2037.
    2. Abe, Sumiyoshi & Suzuki, Norikazu, 2004. "Small-world structure of earthquake network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 357-362.
    3. Jiménez, Abigail, 2013. "A complex network model for seismicity based on mutual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2498-2506.
    4. W. H. Bakun & B. Aagaard & B. Dost & W. L. Ellsworth & J. L. Hardebeck & R. A. Harris & C. Ji & M. J. S. Johnston & J. Langbein & J. J. Lienkaemper & A. J. Michael & J. R. Murray & R. M. Nadeau & P. A, 2005. "Implications for prediction and hazard assessment from the 2004 Parkfield earthquake," Nature, Nature, vol. 437(7061), pages 969-974, October.
    5. Garlaschelli, Diego & Battiston, Stefano & Castri, Maurizio & Servedio, Vito D.P. & Caldarelli, Guido, 2005. "The scale-free topology of market investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 491-499.
    6. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    7. Liu, Jianguo & Dang, Yanzhong & Wang, Zhongtuo & Zhou, Tao, 2006. "Relationship between the in-degree and out-degree of WWW," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 861-869.
    8. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    9. He, Xuan & Zhao, Hai & Cai, Wei & Liu, Zheng & Si, Shuai-Zong, 2014. "Earthquake networks based on space–time influence domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 175-184.
    10. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    11. S. Abe & N. Suzuki, 2007. "Dynamical evolution of clustering in complex network of earthquakes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 59(1), pages 93-97, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu, Yanjie & Ren, Tao & Liu, Yiyang & Li, Zhe, 2018. "Earthquake prediction based on community division," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 969-974.
    2. Zhang, Ya & Zhao, Hai & He, Xuan & Pei, Fan-Dong & Li, Guang-Guang, 2016. "Bayesian prediction of earthquake network based on space–time influence domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 138-149.
    3. Lv, Yuqian & Zhou, Bo & Wang, Jinhuan & Xuan, Qi, 2024. "Targeted k-node collapse problem: Towards understanding the robustness of local k-core structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    4. Angelou, Konstantinos & Maragakis, Michael & Argyrakis, Panos, 2019. "A structural analysis of the patent citation network by the k-shell decomposition method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 476-483.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Hui & Zhao, Hai & Cai, Wei & Xu, Jiu-Qiang & Ai, Jun, 2013. "A modular attachment mechanism for software network evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2025-2037.
    2. He, Xuan & Zhao, Hai & Cai, Wei & Liu, Zheng & Si, Shuai-Zong, 2014. "Earthquake networks based on space–time influence domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 175-184.
    3. Laurienti, Paul J. & Joyce, Karen E. & Telesford, Qawi K. & Burdette, Jonathan H. & Hayasaka, Satoru, 2011. "Universal fractal scaling of self-organized networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3608-3613.
    4. Sodam Baek & Kibae Kim & Jorn Altmann, 2014. "Role of Platform Providers in Service Networks: The Case of Salesforce.com AppExchange," TEMEP Discussion Papers 2014112, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised May 2014.
    5. Nicholas S. Vonortas & Koichiro Okamura, 2013. "Network structure and robustness: lessons for research programme design," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(4), pages 392-411, June.
    6. He, Xuan & Wang, Luyang & Zhu, Hongbo & Liu, Zheng, 2021. "Statistical analysis of complex weighted network for seismicity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    7. Sun, Chenshuo & Pei, Xin & Hao, Junheng & Wang, Yewen & Zhang, Zuo & Wong, S.C., 2018. "Role of road network features in the evaluation of incident impacts on urban traffic mobility," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 101-116.
    8. Filiposka, Sonja & Juiz, Carlos, 2015. "Community-based complex cloud data center," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 356-372.
    9. P.B., Divya & Lekha, Divya Sindhu & Johnson, T.P. & Balakrishnan, Kannan, 2022. "Vulnerability of link-weighted complex networks in central attacks and fallback strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    10. Wang, Junjie & Zhou, Shuigeng & Guan, Jihong, 2011. "Characteristics of real futures trading networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 398-409.
    11. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    12. Zheng, Xiaolong & Zeng, Daniel & Li, Huiqian & Wang, Feiyue, 2008. "Analyzing open-source software systems as complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(24), pages 6190-6200.
    13. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    14. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2010. "Impact of the topology of global macroeconomic network on the spreading of economic crises," Papers 1011.4336, arXiv.org, revised Apr 2011.
    15. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    16. Kibae Kim & Jörn Altmann, 2015. "Effect of Homophily on Network Formation," TEMEP Discussion Papers 2015121, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2017.
    17. Rezaei, Soghra & Moghaddasi, Hanieh & Darooneh, Amir Hossein, 2018. "Preferential attachment in evolutionary earthquake networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 172-179.
    18. Zhang, Xue-Jun & Xu, Guo-Qiang & Zhu, Yan-Bo & Xia, Yong-Xiang, 2016. "Cascade-robustness optimization of coupling preference in interconnected networks," Chaos, Solitons & Fractals, Elsevier, vol. 92(C), pages 123-129.
    19. Ma, Xiangyu & Zhou, Huijie & Li, Zhiyi, 2021. "On the resilience of modern power systems: A complex network perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    20. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:421:y:2015:i:c:p:34-43. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.