%0 Journal Article %1 Tenenbaum2012Earthquake %A Tenenbaum, Joel %A Havlin, Shlomo %A Stanley, H. %D 2012 %J Physical Review E %K earthquakes, power\_laws percolation networks %N 4 %R 10.1103/PhysRevE.86.046107 %T Earthquake networks based on similar activity patterns %U http://dx.doi.org/10.1103/PhysRevE.86.046107 %V 86 %X Earthquakes are a complex spatiotemporal phenomenon the underlying mechanism for which is still not fully understood despite decades of research and analysis. We propose and develop a network approach to earthquake events. In this network, a node represents a spatial location while a link between two nodes represents similar activity patterns in the two different locations. The strength of a link is proportional to the strength of the cross-correlation. We apply our network approach to a Japanese earthquake catalog spanning the 14-year period 1985-1998. We find strong links representing large correlations between patterns in locations separated by more than 1000 km. We also find significant similarities in the network structure upon comparing different time periods.

@article{Tenenbaum2012Earthquake, abstract = {{Earthquakes are a complex spatiotemporal phenomenon the underlying mechanism for which is still not fully understood despite decades of research and analysis. We propose and develop a network approach to earthquake events. In this network, a node represents a spatial location while a link between two nodes represents similar activity patterns in the two different locations. The strength of a link is proportional to the strength of the cross-correlation. We apply our network approach to a Japanese earthquake catalog spanning the 14-year period 1985-1998. We find strong links representing large correlations between patterns in locations separated by more than 1000 km. We also find significant similarities in the network structure upon comparing different time periods.}}, added-at = {2019-06-10T14:53:09.000+0200}, archiveprefix = {arXiv}, author = {Tenenbaum, Joel and Havlin, Shlomo and Stanley, H.}, biburl = {https://www.bibsonomy.org/bibtex/25e9fb5467f5728686d14c6c38942e27d/nonancourt}, citeulike-article-id = {9318689}, citeulike-linkout-0 = {http://dx.doi.org/10.1103/PhysRevE.86.046107}, citeulike-linkout-1 = {http://arxiv.org/abs/1105.3415}, citeulike-linkout-2 = {http://arxiv.org/pdf/1105.3415}, day = 17, doi = {10.1103/PhysRevE.86.046107}, eprint = {1105.3415}, interhash = {10d2c6179d46c5829c41114a1b547154}, intrahash = {5e9fb5467f5728686d14c6c38942e27d}, issn = {1550-2376}, journal = {Physical Review E}, keywords = {earthquakes, power\_laws percolation networks}, month = oct, number = 4, posted-at = {2011-05-20 11:46:20}, priority = {2}, timestamp = {2019-07-31T12:26:38.000+0200}, title = {{Earthquake networks based on similar activity patterns}}, url = {http://dx.doi.org/10.1103/PhysRevE.86.046107}, volume = 86, year = 2012 }