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Novel methods for creating an earthquake complex network using a declustered catalog

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  • Shahraki Ebrahimi, Ammar
  • Yavari, Elham
  • Khatibi, Toktam

Abstract

In recent years, complex networks have been used as new tools to study patterns in earthquake data. Although various methods have been developed to construct earthquake networks, there is still a long way to use this approach as a complete framework for analyzing seismicity. This research develops novel methods for building earthquake networks and investigates the patterns that they could reveal. The proposed methods use a specific declustered catalog and define nodes based on main shocks and edges on aftershocks’ period or sequence. Another method is offered to convert the resulted networks, as earthquake networks, to epicenters networks. The catalog of Iran’s earthquakes from 2006 to 2018 is used to produce earthquake networks using the above-mentioned methods. The resulted networks are scale-free and hierarchical with community structure, as expected. Some nodes’ features in the networks are shown correlated with the magnitude of the related event. Most patterns and features are preserved while converting the earthquakes network to epicenters network. Proposed methods better capture a region’s seismic features into a complex network with a more precise relationship between seismological laws and network characteristics and can help develop perfect seismicity analyzing framework based on complex networks.

Suggested Citation

  • Shahraki Ebrahimi, Ammar & Yavari, Elham & Khatibi, Toktam, 2021. "Novel methods for creating an earthquake complex network using a declustered catalog," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    • Handle: RePEc:eee:chsofr:v:147:y:2021:i:c:s096007792100299x
    DOI: 10.1016/j.chaos.2021.110945
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    References listed on IDEAS

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    1. N. Lotfi & A. Darooneh, 2012. "The earthquakes network: the role of cell size," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 85(1), pages 1-4, January.
    2. Baiesi, Marco, 2006. "Scaling and precursor motifs in earthquake networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 534-542.
    3. Rezaei, Soghra & Darooneh, Amir Hossein & Lotfi, Nastaran & Asaadi, Nazila, 2017. "The earthquakes network: Retrieving the empirical seismological laws," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 80-87.
    4. Chorozoglou, D. & Papadimitriou, E. & Kugiumtzis, D., 2019. "Investigating small-world and scale-free structure of earthquake networks in Greece," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 143-152.
    5. S. Abe & N. Suzuki, 2005. "Scale-invariant statistics of period in directed earthquake network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 44(1), pages 115-117, March.
    6. Deyasi, Krishanu & Chakraborty, Abhijit & Banerjee, Anirban, 2017. "Network similarity and statistical analysis of earthquake seismic data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 224-234.
    7. Min, Seungsik & Chang, Ki-Ho & Kim, Kyungsik & Lee, Yung-Seop, 2016. "Feature of topological properties in an earthquake network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 268-275.
    8. 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.
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