Modeling temporal networks using random itineraries

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

Research output: Contribution to journalArticlepeer-review


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
Issue number15
StatePublished - Apr 8 2013

ASJC Scopus subject areas

  • General Physics and Astronomy


Dive into the research topics of 'Modeling temporal networks using random itineraries'. Together they form a unique fingerprint.

Cite this