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Temporal Network Theory
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two...
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Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling
We describe centralities in temporal networksTemporal networks using a supracentrality framework to study centralityCentrality trajectories, which...
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Weighted Temporal Event Graphs and Temporal-Network Connectivity
Correlations betweenNetwork connectivity the times of events in a temporal networkTemporal networks carry informationInformation on the function of...
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Approximation Methods for Influence Maximization in Temporal Networks
The process of rumor spreading among people can be represented as information diffusionInformation diffusion in a social network. The scale of the...
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Information Diffusion Backbone
Information diffusionInformation diffusion on a network, either static or temporal (time evolving), has been modelled by e.g. shortest pathShortest...
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Modelling Temporal Networks with Markov Chains, Community Structures and Change Points
While temporal networksTemporal networks contain crucial information about the evolving systems they represent, only recently have researchers showed...
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Spreading of Infection on Temporal Networks: An Edge-Centered, Contact-Based Perspective
We discuss a continuous-time extension of the contact-based (CB) model, as proposed in [Koher et al., Phys. Rev. X 9, 031017 (2019)], for infections...
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Continuous-Time Random Walks and Temporal Networks
Real-world networks often exhibit complex temporal patterns that affect their dynamics and function. In this chapter, we focus on the mathematical...
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Temporal Link Prediction Methods Based on Behavioral Synchrony
Link predictionLink prediction—to identify potential missing or spurious links in temporal networkTemporal networks data—has typically been based on...
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Modularity-Based Selection of the Number of Slices in Temporal Network Clustering
A popular way to cluster a temporal networkTemporal networks is to transform it into a sequence of networks, also called slices, where each slice...
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Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks
We recently introduced a formalism for the modeling of temporal networks, that we call stream graphsStream graphs. It emphasizes the streaming nature...
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Bursty Time Series Analysis for Temporal Networks
Characterizing bursty temporal interaction patterns of temporal networks is crucial to investigate the evolution of temporal networksTemporal...
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A Systematic Derivation and Illustration of Temporal Pair-Based Models
A modelling framework is presented for the spread of epidemics on temporal networksTemporal networks from which both the Individual-Based (IB) and...
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A Frequency-Structure Approach for Link Stream Analysis
A link stream is a set of triplets (t, u, v) indicating that u and v interacted at time t. Link streams model numerous datasets and their proper...
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Visualisation of Structure and Processes on Temporal Networks
The temporal dimension increases the complexity of network models but also provides more detailed informationInformation about the sequence of...
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A Map of Approaches to Temporal Networks
The study of temporal networksTemporal networks is motivated by the simple and important observation that just as network structure can affect...
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Dynamics and Control of Stochastically Switching Networks: Beyond Fast Switching
Many complex systemsComplex systems throughout science and engineering display on-off intermittent coupling among their units. Stochastically...
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Fundamental Structures in Temporal Communication Networks
In this paper I introduce a framework for modeling temporal communication networksCommunication networks and dynamical processes unfolding on such...
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Exploring Concurrency and Reachability in the Presence of High Temporal Resolution
Network properties govern the rate and extent of spreading processes on networks, from simple contagions to complex cascades. Recent advances have...
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Challenges in Community Discovery on Temporal Networks
Community discovery is one of the most studied problems in network scienceNetwork science. In recent years, many works have focused on discovering...