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A systematic characterization of multivariate dependence at multiple spatio-temporal scales is critical to understanding climate system dynamics and improving predictive ability from models and data. However, dependence structures in climate are complex due to nonlinear dynamical generating processes, long-range spatial and long-memory temporal relationships, as well as low-frequency variability....
We compare and evaluate different metrics for community structure in networks. In this context we also discuss a simple approach to community detection, and show that it performs as well as other methods, but at lower computational complexity.
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