Application of complex network theory to the recent foreshock sequences of Methoni (2008) and Kefalonia (2014) in Greece

Chorozoglou, D.; Kugiumtzis, D.; Papadimitriou, E.

doi:10.1007/s11600-017-0039-4

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Tytuł artykułu

Application of complex network theory to the recent foreshock sequences of Methoni (2008) and Kefalonia (2014) in Greece

Autorzy

Chorozoglou D. , Kugiumtzis D. , Papadimitriou E.

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-017-0039-4

Warianty tytułu

Języki publikacji

Abstrakty

Seismic hazard evaluation before recent strong main shocks in the area of Greece is attempted using prior seismicity on the basis of earthquake network theory. The connections of earthquake networks are constructed from successive earthquakes and the nodes are represented by cells of normal grids that were considered superimposed on the study areas. The dynamic evolution of the network structure is examined at sliding windows for identifying periods of statistically significant change, i.e., the network structure differentiation from that of a random network, where the structure is characterized by selected network measures, including the index of small-worldness property. By studying the structure of complex earthquake network, a distinct dynamic evolution is revealed, 2 months before the main shock occurrence. Particularly, the network measures, such as clustering coefficient and small-worldness index, tend to increase before and exhibit an abrupt jump at the time of the main shock occurrence, and then slowly decrease and become stable with small variations as before.

Słowa kluczowe

cells main shocks complex networks clustering coefficient random network

komórki wstrząsy główne sieci złożone współczynnik klastrowania sieć losowa

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2017

Tom

Vol. 65, no. 3

Strony

543--553

Opis fizyczny

Bibliogr. 8 poz.

Twórcy

autor

Chorozoglou D.

chorozod@geo.auth.gr

Department of Geophysics, Aristotle University of Thessaloniki, Thessaloníki, Greece

autor

Kugiumtzis D.

Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloníki, Greece

autor

Papadimitriou E.

Department of Geophysics, Aristotle University of Thessaloniki, Thessaloníki, Greece

Bibliografia

1. Abe S, Suzuki N (2004a) Scale-free network of earthquakes. Europhys Lett 65:581–586
2. Abe S, Suzuki N (2004b) Small-world structure of earthquake network. Phys A 337:357–362
3. Abe S, Suzuki N (2006) Complex-network description of seismicity. Nonlinear Process Geophys 13:145–150
4. Abe S, Suzuki N (2007) Dynamical evolution of clustering in complex network of earthquakes. Eur Phys J B 59:93–97
5. Abe S, Suzuki N (2009) Main shocks and evolution of complex earthquake networks. Braz J Phys 39(2A):428–430
6. Baiesi M, Paczuski M (2004) Scale-free networks of earthquakes and aftershocks. Phys Rev E 69:066106. doi:10.1103/PhysRevE.69.066106
7. Baiesi M, Paczuski M (2005) Complex networks of earthquakes and aftershocks. Nonlinear Process Geophys 12:1–11. doi:10.5194/npg-12-1
8. Barrat A, Barthelemy M, Vespignani A (2008) Dynamical processes on complex networks. Cambridge University Press, United Kingdom, p 361
9. Bath M (1978) Seismic risk in Fennoscandia. Tectono Phys 57:285–295
10. Brillinger D (1982) Some bounds for seismic risk. Bull Seismol Soc Am 72:1403–1410
11. Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58:1583–1606
12. Daskalaki E, Papadopoulos GA, Spiliotis K, Siettos C (2014) Analysing the topology of seismicity in the Hellenic arc using complex networks. J Seismol 18:37–46. doi:10.1007/s10950-013-9398-8
13. Del Genio C, Kim H, Toroczkai Z, Bassler K (2010) Efficient and exact sampling of simple graphs with given arbitrary degree sequence. PLoS One 5(4):e10012
14. Emmert-Streib F, Dehmer M (2010) Influence of the time scale on the construction of financial networks. PLoS One 5(9):e12884
15. Hainzl S, Zöller G, Kurths J (1999) Similar power laws for foreshock and aftershock sequences in a spring-block model for earthquakes. J Geophys Res 104:7243–7254
16. Herrera C, Nava FA, Lomnitz C (2006) Time-dependent earthquake hazard evaluation in seismogenic systems using mixed Markov Chains: an application to the Japan area. Earth Planets Space 58:973–979
17. Howard RA (1971) Dynamic probabilistic systems, 1(2). Wiley, New York
18. Jones LM, Molnar P (1979) Some characteristics of foreshocks and their possible relationship to earthquake prediction and premonitory slip on fault. J Geophys Res 84:3596–3608
19. Kagan Y, Knopoff L (1978) Statistical study of the occurrence of shallow earthquakes. Geophys J R Astr S 55:67–86
20. Kanamori H, Anderson L (1975) Theoretical basis of some empirical relations in seismology. Bull Seismol Soc Am 65(5):1073–1095
21. Karakostas V (2009) Seismicity patterns before strong earthquakes in Greece. Acta Geophys 57(2):367–386. doi:10.2478/s11600-009-0004-y
22. Karakostas V, Papadimitriou E, Mesimeri M, Gkarlaouni C, Paradisopoulou P (2014) The 2014 Kefalonia Doublet (Mw6.1 and Mw6.0), Central Ionian Islands, Greece: Seismotectonic implications along the Kefalonia Transform fault zone. Acta Geophysica 63(1):1–16
23. Lomnitz C (1974) Global tectonics and earthquake risk. Elsevier Scientific Publishing Co, Amsterdam-London-New York
24. Lomnitz C, Nava F (1983) The predictive power of seismic gaps. Bull Seismol Soc Am 73:1815–1824
25. Maslov S, Sneppen K (2002) Specificity and stability in topology of protein networks. Science 296:910–913
26. Molloy M, Reed B (1995) A critical point for random graphs with a given degree sequence. Random Struct Algorithms 6(2–3):161–180
27. Nava FA, Herrera C, Frez J, Glowacka E (2005) Seismic hazard evaluation using Markov chains: application to the Japan area. Pure Appl Geophys 162:1347–1366
28. Newman M (2010) Networks: an introduction. Oxford University Press, New York
29. Newman M, Strogatz S, Watts D (2001) Random graphs with arbitrary degree distributions and their applications. Phys Rev E 64(2):026118
30. Papadopoulos GA, Charalampakis M, Fokaefs A, Minadakis G (2010) Strong foreshock signal preceding the L’Aquila (Italy) earthquake (Mw 6.3) of 6 April 2009. Nat Hazards Earth Syst Sci 10:19–24. doi:10.5194/nhess-10-19
31. Papazachos BC (1975) Foreshocks and earthquake prediction. Tectonophysics 28:213–226
32. Roumelioti Z, Benetatos C, Kiratzi A (2009) The 14 February 2008 earthquake (M6.7) sequence offshore south Peloponnese (Greece): source models of the three strongest events. Tectonophysics 471(1):272–284
33. Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52(3):1059–1069
34. Steeples W, Steeples D (1996) Far-field aftershocks of the 1906 earthquake. Bull Seismol Soc Am 86(4):921–924
35. Tsapanos TM, Papadopoulou AA (1999) A discrete Markov model for earthquake occurrence in Southern Alaska and Aleutian Islands. Balk Geophys Soc 2(3):75–83
36. Utsu T (2002) A list of deadly earthquakes in the world: 1500-2000, International Handbook of Earthquake & Engineering Seismology Part A. Academic Press, San Diego, pp 691–717
37. Wang XF, Chen GR (2003) Complex networks: small-world, scale-free and beyond [J]. IEEE circuits and systems magazine 3(1):6–20
38. Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393:440–442

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Bibliografia

Identyfikator YADDA

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