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Modeling of Colombian Seismicity as Small‐World Networks

2018; Seismological Society of America; Volume: 89; Issue: 5 Linguagem: Inglês

10.1785/0220180076

1938-2057

Daniel Andrés León, J. A. Valdivia, Víctor Bucheli,

Geological and Tectonic Studies in Latin America

Research Article| July 18, 2018 Modeling of Colombian Seismicity as Small‐World Networks Daniel Andrés León; Daniel Andrés León aEscuela de Ingeniería de Sistemas y Computación, Universidad del Valle, Ciudad Universitaria Melendez, Calle 13 No 100‐00, A.A. 25360, Cali, Colombia, daniel.leon@correounivalle.edu.covictor.bucheli@correounivalle.edu.cocAlso at Corporación OSSO, Cali, Colombia; daniel.leon@osso.org.co. Search for other works by this author on: GSW Google Scholar Juan Alejandro Valdivia; Juan Alejandro Valdivia bDepartamento de Física, Facultad de Ciencias, Universidad de Chile, Av. Libertador Bernardo O'Higgins 1058, Santiago, Chile, alejo@macul.ciencias.uchile.cl Search for other works by this author on: GSW Google Scholar Víctor Andrés Bucheli Víctor Andrés Bucheli aEscuela de Ingeniería de Sistemas y Computación, Universidad del Valle, Ciudad Universitaria Melendez, Calle 13 No 100‐00, A.A. 25360, Cali, Colombia, daniel.leon@correounivalle.edu.covictor.bucheli@correounivalle.edu.co Search for other works by this author on: GSW Google Scholar Author and Article Information Daniel Andrés León aEscuela de Ingeniería de Sistemas y Computación, Universidad del Valle, Ciudad Universitaria Melendez, Calle 13 No 100‐00, A.A. 25360, Cali, Colombia, daniel.leon@correounivalle.edu.covictor.bucheli@correounivalle.edu.cocAlso at Corporación OSSO, Cali, Colombia; daniel.leon@osso.org.co. Juan Alejandro Valdivia bDepartamento de Física, Facultad de Ciencias, Universidad de Chile, Av. Libertador Bernardo O'Higgins 1058, Santiago, Chile, alejo@macul.ciencias.uchile.cl Víctor Andrés Bucheli aEscuela de Ingeniería de Sistemas y Computación, Universidad del Valle, Ciudad Universitaria Melendez, Calle 13 No 100‐00, A.A. 25360, Cali, Colombia, daniel.leon@correounivalle.edu.covictor.bucheli@correounivalle.edu.co Publisher: Seismological Society of America First Online: 18 Jul 2018 Online Issn: 1938-2057 Print Issn: 0895-0695 © Seismological Society of America Seismological Research Letters (2018) 89 (5): 1807–1816. https://doi.org/10.1785/0220180076 Article history First Online: 18 Jul 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Daniel Andrés León, Juan Alejandro Valdivia, Víctor Andrés Bucheli; Modeling of Colombian Seismicity as Small‐World Networks. Seismological Research Letters 2018;; 89 (5): 1807–1816. doi: https://doi.org/10.1785/0220180076 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT Considering seismological data sets as complex networks is an approach that can be used to study the seismicity in a region; comprehend the spatial and temporal complexity of this phenomenon; and even more important, unravel the relationship among seismic events. In this work, we consider 4985 events, selected from the U.S. Geological Survey (USGS) earthquake catalog for the Colombian region, to build earthquake networks based on the temporal sequence of events and their specific location. We show that the networks are of small‐world type independent of the cell size, or granularity, used to construct the networks, which is similar to the results reported for other regions even though the Colombian region is a complex seismic region where many plates converge. Furthermore, this work characterizes the structure of the complex networks of Colombian seismicity and highlights zones with seismic importance such as the Bucaramanga sector. Based on these results, we could apply complex network techniques to test the possibility of forecasting seismic events based on their spatial and temporal sequences. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.