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Dynamics of cascades on burstiness-controlled temporal networks

Authors
  • Unicomb, Samuel1
  • Iñiguez, Gerardo2, 3, 4
  • Gleeson, James P.5
  • Karsai, Márton1, 2
  • 1 Université de Lyon, ENS de Lyon, INRIA, CNRS, UMR 5668, IXXI, Lyon, 69364, France , Lyon (France)
  • 2 Central European University, Vienna, A-1100, Austria , Vienna (Austria)
  • 3 Aalto University School of Science, Aalto, FI-00076, Finland , Aalto (Finland)
  • 4 Universidad Nacional Autonóma de México, CDMX, 04510, Mexico , CDMX (Mexico)
  • 5 University of Limerick, Limerick, V94 T9PX, Ireland , Limerick (Ireland)
Type
Published Article
Journal
Nature Communications
Publisher
Springer Nature
Publication Date
Jan 08, 2021
Volume
12
Issue
1
Identifiers
DOI: 10.1038/s41467-020-20398-4
Source
Springer Nature
License
Green

Abstract

Temporal networks in which interaction events are distributed heterogeneously in time are complex to model. Unicomb et al. propose an analytical framework for the analysis of cascading dynamics in such networks, relevant for spin interactions, epidemic spreading, and language dynamics.

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