Data from:Spatio-temporal networks: reachability, centrality and robustness
Williams, Matthew J.; Musolesi, Mirco (2016), Data from:Spatio-temporal networks: reachability, centrality and robustness, Dryad, Dataset, https://doi.org/10.5061/dryad.3p27r
Recent advances in spatial and temporal networks have enabled researchers to more-accurately describe many real-world systems such as urban transport networks. In this paper, we study the response of real-world spatio-temporal networks to random error and systematic attack, taking a unified view of their spatial and temporal performance. We propose a model of spatio-temporal paths in time-varying spatially embedded networks which captures the property that, as in many real-world systems, interaction between nodes is non-instantaneous and governed by the space in which they are embedded. Through numerical experiments on three real-world urban transport systems, we study the effect of node failure on a network's topological, temporal and spatial structure. We also demonstrate the broader applicability of this framework to three other classes of network. To identify weaknesses specific to the behaviour of a spatio-temporal system, we introduce centrality measures that evaluate the importance of a node as a structural bridge and its role in supporting spatio-temporally efficient flows through the network. This exposes the complex nature of fragility in a spatio-temporal system, showing that there is a variety of failure modes when a network is subject to systematic attacks.
- This dataset cites https://doi.org/10.1098/rsos.160196
- This dataset is supplemented by http://dx.doi.org/10.6084/m9.figshare.1452948.v1
New York City
United States of America