title: Small-world behavior in time-varying graphs.
abstract: Connections in complex networks are inherently fluctuating over time and exhibit more dimensionality than analysis based on standard static graph measures can capture. Here, we introduce the concepts of temporal paths and distance in time-varying graphs. We define as temporal small world a time-varying graph in which the links are highly clustered in time, yet the nodes are at small average temporal distances. We explore the small-world behavior in synthetic time-varying networks of mobile agents and in real social and biological time-varying systems.
authors.affiliation: Computer Laboratory, University of Cambridge, 15 J. J. Thomson Avenue, Cambridge CB3 0FD, United Kingdom.
authors.forename: J
authors.initials: J
authors.lastname: Tang
authors.forename: S
authors.initials: S
authors.lastname: Scellato
authors.forename: M
authors.initials: M
authors.lastname: Musolesi
authors.forename: C
authors.initials: C
authors.lastname: Mascolo
authors.forename: V
authors.initials: V
authors.lastname: Latora
mesh_terms: D001921:Brain / Q000502:physiology; D004569:Electroencephalography; D006801:Humans; D008962:Models, Theoretical; D012944:Social Support; D013269:Stochastic Processes; D013997:Time Factors