Modeling temporal networks using random itineraries

Alain Barrat, Bastien Fernandez, Kevin K. Lin, Lai Sang Young

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

We propose a procedure to generate dynamical networks with bursty, possibly repetitive and correlated temporal behaviors. Regarding any weighted directed graph as being composed of the accumulation of paths between its nodes, our construction uses random walks of variable length to produce time-extended structures with adjustable features. The procedure is first described in a general framework. It is then illustrated in a case study inspired by a transportation system for which the resulting synthetic network is shown to accurately mimic the empirical phenomenology.

Original languageEnglish (US)
Article number158702
JournalPhysical review letters
Volume110
Issue number15
DOIs
StatePublished - Apr 8 2013

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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