基于关联权重的复杂地震网络研究

Complex networks systems contain emergent collective property and critical phenomenons,that is hardly understood by the traditional approach in natural science.Correlation between elements in a complex networks is familiar.According to the nonequilibrium statistical theory,We invoke a correlation method to quantify the edge weight in complex seismic networks. We study the topology and hierarchical structure in such correlation weighted seismic networks. We also characterize such networks' evolving and correlative dynamics. Possible precursors information of a shock will be examined as well.Otherwise we regard evolution of the constructed seismic networks as critical behavior on complex networks.We study its structure stability under the exterior interference,look for the criterion of the mutation for this seismic complex networks.

复杂网络系统具有传统理论无法解释的集体涌现与临界特性，同时在大量复杂网络中存在着关联现象。本项目将基于非平衡统计理论将关联强度作为连接权重(边权)引入到复杂地震网络的构建当中，构建含关联权重的复杂地震网络模型。我们将对比研究该含权复杂地震网络的拓扑结构与演化动力学特征，藉此搜寻大规模地震爆发的预测信息。同时我们将复杂地震网络演化视为复杂网络中的临界行为，研究该复杂地震网络拓扑结构在外界扰动条件下的稳定性，分析人为地质活动对复杂地震网络的影响,得到人为诱发地震的判定条件。