The temporal event graph

Temporal networks are increasingly being used to model the interactions of complex systems. Most studies require the temporal aggregation of edges (or events) into discrete time steps to perform analysis. In this article, we describe a static, behavioural representation of a temporal network, the te...

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Bibliographic Details
Main Author: Mellor, A
Format: Journal article
Published: Oxford University Press 2017
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author Mellor, A
author_facet Mellor, A
author_sort Mellor, A
collection OXFORD
description Temporal networks are increasingly being used to model the interactions of complex systems. Most studies require the temporal aggregation of edges (or events) into discrete time steps to perform analysis. In this article, we describe a static, behavioural representation of a temporal network, the temporal event graph (TEG). The TEG describes the temporal network in terms of both inter-event time and two-event temporal motifs. By considering the distributions of these quantities in unison, we provide a new method to characterize the behaviour of individuals and collectives in temporal networks as well as providing a natural decomposition of the network. We illustrate the utility of the TEG by providing examples on both synthetic and real temporal networks.
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spelling oxford-uuid:127b1aaf-3d67-4f3e-ab34-ff83f92c8e432022-03-26T10:08:11ZThe temporal event graphJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:127b1aaf-3d67-4f3e-ab34-ff83f92c8e43Symplectic Elements at OxfordOxford University Press2017Mellor, ATemporal networks are increasingly being used to model the interactions of complex systems. Most studies require the temporal aggregation of edges (or events) into discrete time steps to perform analysis. In this article, we describe a static, behavioural representation of a temporal network, the temporal event graph (TEG). The TEG describes the temporal network in terms of both inter-event time and two-event temporal motifs. By considering the distributions of these quantities in unison, we provide a new method to characterize the behaviour of individuals and collectives in temporal networks as well as providing a natural decomposition of the network. We illustrate the utility of the TEG by providing examples on both synthetic and real temporal networks.
spellingShingle Mellor, A
The temporal event graph
title The temporal event graph
title_full The temporal event graph
title_fullStr The temporal event graph
title_full_unstemmed The temporal event graph
title_short The temporal event graph
title_sort temporal event graph
work_keys_str_mv AT mellora thetemporaleventgraph
AT mellora temporaleventgraph