Comparing complex networks: In defence of the simpleWe conclude that the operational use of complicated methods in isomorphisms
can be justified only by showing that they out-perform well-understood traditional statistics, such as Euclidean metrics. Here we compare a difussion-kernel, a dissimilarity measure and the underestimated but very useful Frobenius. | Ordinal Synchronization: Using ordinal patterns to capture interdependencies between time seriesWe present a new measure for capturing the interdependence of two natural signals based on symbolic dynamics. We compare it with mutual information, phase locking value, Pearson correlation and coherence. | Using network science to analyze football passing networks: dynamics, space, time and the multilayerA complete review-comment opening the door to the new field of football and network science. |
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