Intro
Preface to the Second Edition
Preface to the First Edition
Contents
1 A Map of Approaches to Temporal Networks
1.1 Overview
1.2 Temporal Network Data
1.2.1 Events
1.2.2 Boundaries
1.2.3 Connectivity
1.3 Simplifying and Coarse-Graining Temporal Networks
1.3.1 Projections to Static Networks
1.3.2 Separating the Dynamics of Contacts, Links, and Nodes
1.3.3 Mesoscopic Structures
1.3.4 Fundamental Structures
1.4 Important Nodes, Links, and Events
1.4.1 Generalizing Centrality Measures
1.4.2 Controllability

1.4.3 Vaccination, Sentinel Surveillance, and Influence Maximization
1.4.4 Robustness to Failure and Attack
1.5 How Structure Affects Dynamics
1.5.1 Simulating Disease Spreading
1.5.2 Tuning Temporal Network Structure by Randomization
1.5.3 Models of Temporal Networks
1.6 Other Topics
1.7 Future Perspectives
References
2 Fundamental Structures in Temporal Communication Networks
2.1 Introduction
2.2 Network Structure of Communication Events
2.2.1 Synchronous Versus Asynchronous
2.2.2 One-to-One, One-to-Many, Many-to-Many
2.2.3 Connecting to Network Theory

2.2.4 The Case of Many-to-Many, Synchronous Networks
2.3 Frequently Asked Questions
2.3.1 What Do You Mean `Framework'!?
2.3.2 Is the Framework All Done and Ready to Use?
2.3.3 Is It Just for Communication Networks?
2.3.4 Isn't All This Obvious?
2.4 Consequences for Analysis and Modeling
2.4.1 Randomization
2.4.2 Generative Models
2.4.3 Link Prediction and Link Activity
2.4.4 Spreading Processes
2.4.5 Communities
2.5 Conclusion
References
3 Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks
3.1 Introduction

3.2 Weighted Stream Graphs
3.3 Bipartite Stream Graphs
3.4 Directed Stream Graphs
3.5 Conclusion
References
4 Modelling Temporal Networks with Markov Chains, Community Structures and Change Points
4.1 Introduction
4.2 Temporal Networks as Markov Chains
4.3 Markov Chains with Communities
4.4 Markov Chains with Change Points
4.5 Conclusion
References
5 Visualisation of Structure and Processes on Temporal Networks
5.1 Introduction
5.2 Temporal Networks
5.3 Visualisation on and of Temporal Networks
5.3.1 Layouts
5.3.2 Visual Clutter