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This book offers an introduction to temporal network methods, which lift temporal information from the level of system dynamics to the mathematical representation of the contact network itself, yielding more accurate models of large-scale dynamic phenomena.

The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen.
Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model.
Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself.
This framework becomes particularly useful for...