Temporal networks: Characterization, motifs and spreading

János Kertész*

*Corresponding author for this work

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

Networks as scaffolds of complex systems are intrinsically dynamic: They grow and shrink, split and merge, as well as there are processes taking place on them like spreading phenomena. As long as the time scale of the change of the network is much slower than that of the processes a static network picture is adequate. When these scales get closer to each other, a different, dynamic approach is necessary. There is a class of networks, in which the connections between the nodes are only temporarily present-these are the temporal networks. Examples are communication networks, networks based on proximity or the networks of financial transactions. Here we briefly review the characteristics of such temporal networks with special emphasis on the motifs, i.e., small, typical spatio-temporal units. We also discuss the effect of time distributions of events on spreading in temporal networks.

Original languageEnglish
Title of host publicationProceedings of the International School of Physics "Enrico Fermi" on Computational Social Science and Complex Systems
EditorsJanos Kertesz, Rosario Nunzio Mantegna, Salvatore Micciche
PublisherIOS Press
Pages105-119
Number of pages15
ISBN (Electronic)9781643680361
DOIs
StatePublished - 12 Nov 2019
Event2018 International School of Physics �Enrico Fermi� on Computational Social Science and Complex Systems - Varenna, Italy
Duration: 16 Jul 201821 Jul 2018

Publication series

NameProceedings of the International School of Physics "Enrico Fermi"
Volume203
ISSN (Print)0074-784X
ISSN (Electronic)1879-8195

Conference

Conference2018 International School of Physics �Enrico Fermi� on Computational Social Science and Complex Systems
Country/TerritoryItaly
CityVarenna
Period16/07/1821/07/18

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