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The earthquake network: the best time scale for network construction

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Języki publikacji
EN
Abstrakty
EN
Scientists mapped the seismic time series into networks by considering the geographical location of events as nodes and establishing links between the nodes with different rules. Applying the successively defined models to construct the networks of seismic data, a variety of features of earthquake networks are detected (scale-free and small-world structures). Network construction models had changed in detail to optimize the performance of the verification of the minimum geographical size defined for the node. In all the studies, people try to use large data sets like years of data to ensure their results are good enough. In this work, by proposing the temporal network construction and employing the small-worldness property for data from Iran and California, we could achieve the minimum time scale needed for the best results. We verified the importance of this scale by analyzing two significant centrality measures (degree centrality and PageRank) introduced in the concept of earthquake network.
Czasopismo
Rocznik
Strony
2565--2571
Opis fizyczny
Bibliogr. 28 poz, rys.
Twórcy
  • Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Caixa Postal 668, São Carlos, SP 13560-970, Brazil
Bibliografia
  • 1. Abe S, Pastén D, Muñoz V, Suzuki N (2011) Universalities of earthquake-network characteristics. Chinese Sci Bull 56(34):3697–3701
  • 2. Abe S, Pastén D, Suzuki N (2011) Finite data-size scaling of clustering in earthquake networks. Physica A 390(7):1343–1349
  • 3. Abe S, Suzuki N (2004) Scale-free network of earthquakes. Europhys Lett 65(4):581
  • 4. Abe S, Suzuki N (2004) Small-world structure of earthquake network. Physica A 337(1–2):357–362
  • 5. Abe S, Suzuki N (2005) Scale-invariant statistics of period in directed earthquake network. Eur Phys J B 44(1):115–117
  • 6. Abe S, Suzuki N (2006) Complex-network description of seismicity. Nonlinear Proc Geophys 13(2):145–150
  • 7. Baiesi M, Paczuski M (2004) Scale-free networks of earthquakes and aftershocks. Phys Rev E 69(6):066106
  • 8. Bak P, Christensen K, Danon L, Scanlon T (2002) Unified scaling law for earthquakes. Phys Rev Lett 88(17):178501
  • 9. Belardinelli M, Bizzarri A, Cocco M (2003) Earthquake triggering by static and dynamic stress changes. J Geophys Res 108(B3)
  • 10. Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw ISDN 30(1–7):107–117
  • 11. Chorozoglou D, Papadimitriou E, Kugiumtzis D (2019) Investigating small-world and scale-free structure of earthquake networks in greece. Chaos, Solitons & Fractals 122:143–152
  • 12. Darooneh AH, Lotfi N (2014) Active and passive faults detection by using the pagerank algorithm. Europhys Lett 107(4):49001
  • 13. Donges JF, Donner RV, Kurths J (2013) Testing time series irreversibility using complex network methods. Europhys Lett 102(1):10004
  • 14. Freed AM (2005) Earthquake triggering by static, dynamic, and postseismic stress transfer. Annu Rev Earth Planet Sci 33:335–367
  • 15. Gutenberg B (2013) Seismicity of the earth and associated phenomena, Read Books Ltd
  • 16. Gutenberg B, Richter CF (1944) Frequency of earthquakes in california. Bull Seismol Soc Am 34(4):185–188
  • 17. Humphries MD, Gurney K (2008) Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence. PLoS ONE 3(4):e0002051
  • 18. Kanamori H, Brodsky EE (2001) The physics of earthquakes. Phys Today 54(6):34–40
  • 19. King GC, Stein RS, Lin J (1994) Static stress changes and the triggering of earthquakes. Bull Seismol Soc Am 84(3):935–953
  • 20. Lacasa L, Luque B, Ballesteros F, Luque J, Nuno JC (2008) From time series to complex networks: the visibility graph. Proc Natl Acad Sci 105(13):4972–4975
  • 21. Lacasa L, Luque B, Luque J, Nuno JC (2009) The visibility graph: a new method for estimating the hurst exponent of fractional brownian motion. Europhys Lett 86(3):30001
  • 22. Lacasa L, Toral R (2010) Description of stochastic and chaotic series using visibility graphs. Phys Rev E 82(3):036120
  • 23. Lotfi N, Darooneh A (2012) The earthquakes network: the role of cell size. Eur Phys J B 85(1):1–4
  • 24. Lotfi N, Darooneh AH (2013) Nonextensivity measure for earthquake networks. Physica A 392(14):3061–3065
  • 25. Lotfi N, Darooneh AH, Rodrigues FA (2018) Centrality in earthquake multiplex networks. Chaos 28(6):063113
  • 26. Omori F (1894) On the aftershocks of earthquakes. J Coll Sci 7:111–120
  • 27. Rezaei S, Darooneh AH, Lotfi N, Asaadi N (2017) The earthquakes network: retrieving the empirical seismological laws. Physica A 471:80–87
  • 28. Rezaei S, Moghaddasi H, Darooneh AH (2019) Pagerank: an alarming index of probable earthquake occurrence. Chaos 29(6):063114
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5570ac21-d04c-4aa8-aa4d-31c83ae28e2f
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