Topological Comparison Between the Stochastic and the Nearest‐Neighbor Earthquake Declustering Methods Through Network Analysis
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[1] P. Shearer,et al. A new method to identify earthquake swarms applied to seismicity near the San Jacinto Fault, California , 2016 .
[2] D. Vere-Jones,et al. Stochastic Declustering of Space-Time Earthquake Occurrences , 2002 .
[3] L. Knopoff,et al. Is the sequence of earthquakes in Southern California, with aftershocks removed, Poissonian? , 1974, Bulletin of the Seismological Society of America.
[4] P. Bonacich. Power and Centrality: A Family of Measures , 1987, American Journal of Sociology.
[5] Jiancang Zhuang,et al. An improved space‐time ETAS model for inverting the rupture geometry from seismicity triggering , 2015 .
[6] Y. Ogata. Space-Time Point-Process Models for Earthquake Occurrences , 1998 .
[7] Yehuda Ben-Zion,et al. Earthquake clusters in southern California II: Classification and relation to physical properties of the crust , 2013 .
[8] D. Marsan,et al. Extending Earthquakes' Reach Through Cascading , 2008, Science.
[9] A. Michael,et al. Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for Probabilistic Seismic Hazard Assessment , 2020 .
[10] I. Zaliapin,et al. A global classification and characterization of earthquake clusters , 2016 .
[11] Heterogeneity of direct aftershock productivity of the main shock rupture , 2017 .
[12] A. Peresan,et al. Seismic clusters analysis in Northeastern Italy by the nearest-neighbor approach , 2018 .
[13] M. Baiesi,et al. Scale-free networks of earthquakes and aftershocks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] P. Reasenberg. Second‐order moment of central California seismicity, 1969–1982 , 1985 .
[15] Stephen P. Borgatti,et al. Centrality and network flow , 2005, Soc. Networks.
[16] D. Jackson,et al. Are spontaneous earthquakes stationary in California , 2010 .
[17] Yan Y. Kagan,et al. Long-term earthquake clustering , 1991 .
[18] Jordi Baró Urbea. Topological properties of epidemic aftershock processes , 2019 .
[19] Phillip Bonacich,et al. Eigenvector-like measures of centrality for asymmetric relations , 2001, Soc. Networks.
[20] R. Rotondi. Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes , 2010 .
[21] M. Wyss,et al. Stress field in Friuli (NE Italy) from fault plane solutions of activity following the 1976 main shock , 1999, Bulletin of the Seismological Society of America.
[22] M. Baiesi,et al. Triggering cascades and statistical properties of aftershocks , 2012 .
[23] M. Zare,et al. Declustering of Iran earthquake catalog (1983–2017) using the epidemic-type aftershock sequence (ETAS) model , 2018, Acta Geophysica.
[24] D. Vere-Jones,et al. Analyzing earthquake clustering features by using stochastic reconstruction , 2004 .
[25] A. Peresan,et al. Modelling background seismicity components identified by nearest neighbour and stochastic declustering approaches: the case of Northeastern Italy , 2020, Stochastic Environmental Research and Risk Assessment.
[26] R. Rotondi,et al. Failure models driven by a self-correcting point process in earthquake occurrence modeling , 2019, Stochastic Environmental Research and Risk Assessment.
[27] Chung-Pai Chang,et al. A study on the background and clustering seismicity in the Taiwan region by using point process models : Stress transfer, earthquake triggering, and time-dependent seismic hazard , 2005 .
[28] G. Panza,et al. A Multiscale Application of the Unified Scaling Law for Earthquakes in the Central Mediterranean Area and Alpine Region , 2011 .
[29] Ilya Zaliapin,et al. Clustering analysis of seismicity and aftershock identification. , 2007, Physical review letters.
[30] Carlo Meletti,et al. The 2015 version of the Italian Parametric Earthquake Catalogue (CPTI15) , 2016 .
[31] Jiancang Zhuang,et al. Second‐order residual analysis of spatiotemporal point processes and applications in model evaluation , 2006 .
[32] K. Nanjo,et al. Comparison of seismicity declustering methods using a probabilistic measure of clustering , 2013, Journal of Seismology.
[33] I. Zaliapin,et al. Comparative Study of Earthquake Clustering in Relation to Hydraulic Activities at Geothermal Fields in California , 2017 .
[34] David Vere-Jones,et al. Earthquake prediction - a statistician's view. , 1978 .
[35] L. Freeman. Centrality in social networks conceptual clarification , 1978 .