Isolation statistics in temporal spatial networks

Carl Dettmann, Orestis Georgiou

Research output: Contribution to journalLetter (Academic Journal)peer-review

4 Citations (Scopus)
244 Downloads (Pure)

Abstract

The reliability and robustness of infrastructure networks are important problems
requiring network models with nodes at fixed locations and links that break and reform with time. These temporal spatial networks are however difficult to analyse and understand due to the coexistence of short and long range links and inherent temporal correlations. We provide a mathematically tractable framework to analytically study the isolation statistics responsible for disconnecting spatial networks. Small-world effects and temporal correlations are also incorporated
in our framework as we investigate the distribution of the time needed for information packets to be able to reach the whole network.
Original languageEnglish
Article number28002
Number of pages7
JournalEPL
Volume119
Issue number2
Early online date5 Oct 2017
DOIs
Publication statusPublished - 2017

Keywords

  • Networks and genealogical trees
  • Stochastic processes
  • Lattice theory and statistics

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