Description
Springer Temporal Networks by Petter Holme, Jari Saramäki
The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. _x000D_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. _x000D_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. _x000D_This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. _x000D_The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. _x000D_This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field._x000D_ Table of contents : - _x000D_
Metrics and Measures.- Time Scales.- Temporal Networks of Human Interactions.- Spreading Dynamics.- Models._x000D_