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Quantifying the effect of temporal resolution on time-varying networks.

ABSTRACT: Time-varying networks describe a wide array of systems whose constituents and interactions evolve over time. They are defined by an ordered stream of interactions between nodes, yet they are often represented in terms of a sequence of static networks, each aggregating all edges and nodes present in a time interval of size ?t. In this work we quantify the impact of an arbitrary ?t on the description of a dynamical process taking place upon a time-varying network. We focus on the elementary random walk, and put forth a simple mathematical framework that well describes the behavior observed on real datasets. The analytical description of the bias introduced by time integrating techniques represents a step forward in the correct characterization of dynamical processes on time-varying graphs.

SUBMITTER: Ribeiro B

PROVIDER: S-EPMC3801130 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Quantifying the effect of temporal resolution on time-varying networks.

Ribeiro Bruno B Perra Nicola N Baronchelli Andrea A

Scientific reports 20131021

Time-varying networks describe a wide array of systems whose constituents and interactions evolve over time. They are defined by an ordered stream of interactions between nodes, yet they are often represented in terms of a sequence of static networks, each aggregating all edges and nodes present in a time interval of size Δt. In this work we quantify the impact of an arbitrary Δt on the description of a dynamical process taking place upon a time-varying network. We focus on the elementary random ...[more]

PMID: 24141695

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Correction: Temporal Gillespie algorithm: Fast simulation of contagion processes on time-varying networks.

Project description:[This corrects the article DOI: 10.1371/journal.pcbi.1004579.].

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