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Earthquake prediction based on community division

Yanjie Xu, Tao Ren, Yiyang Liu and Zhe Li

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 969-974

Abstract: In time-space influence domain, two directed weighted earthquake network are structured based on the earthquake number and the maximum magnitude of Southern California. The earthquake prediction method is proposed based on the minimum edge weight. By CNM (community detection method) community division algorithm, the network is divided into several communities and the top 10 communities can be selected according to the number of nodes. Finally, we compare the accuracy of the divided network with the network without community division. The simulation results show that the community division can improve the accuracy of the earthquake prediction.

Keywords: Earthquake network; Directed weighted network; Prediction; Community division (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:969-974

DOI: 10.1016/j.physa.2018.05.035

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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