Temporal networks as a modeling framework
arXiv:2103.13586
Abstract
To understand large, connected systems, we cannot only zoom into the details. We also need to see the large-scale features from afar. One way to take a step back and get the whole picture is to model the systems as a network. However, many systems are not static, but consisting of contacts that are off and on as time progresses. This Chapter introduces the mathematical and computational modeling of such systems and thus an introduction to the rest of the book. We will cover some of the earlier developments that form the foundation for the more specialized topics of the other Chapters.
Introductory chapter to Holme, Saramäki, eds., Temporal Networks (Springer, Berlin, 2013)
References in corpus (6)
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- Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
- Path lengths, correlations, and centrality in temporal networks
- Network reachability of real-world contact sequences
- Nonparametric Link Prediction in Dynamic Networks
- Importance of individual events in temporal networks