The Temporal Rich Club Phenomenon

Abstract

Identifying the hidden organizational principles and relevant structures of networks representing complex physical systems is fundamental to understand their properties. To this aim, uncovering the structures involving a network's prominent nodes in a network is an effective approach. In temporal networks, the simultaneity of connections is crucial for temporally stable structures to arise. We thus propose here a novel measure to quantitatively investigate the tendency of well connected nodes to form simultaneous and stable structures in a temporal network. We refer to this tendency, when observed, as the "temporal rich club phenomenon". We illustrate the interest of this concept by analyzing diverse data sets under this lens, and showing how it enables a new perspective on their temporal patterns, from the role of cohesive structures in relation to processes unfolding on top of the network to the study of specific moments of interest in the evolution of the network.

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• Detecting periodic time scales in temporal networks
• Generating surrogate temporal networks from mesoscale building blocks
• Flow of temporal network properties under local aggregation and time shuffling: a tool for characterizing, comparing and classifying temporal networks
• Dynamic models of gentrification
• Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks
• Temporal rich club phenomenon and its formation mechanisms