Introducing a novel large-scale data set of temporal, multi-layer and spatially embedded networks
Within complex networks science, one of its major enablers is the availability of real data sets, on which to test and validate models and algorithms. Leveraging seven years of daily trajectories over Europe [1] and the interactions between them, in this talk we introduce a data set comprising 1,708 temporal networks, each with an average of circa 20,000 nodes and 50,000 edges. After going through how these networks have been obtained and which specific information the data set contains [2], we will present a set of examples of how the data can be used in established and novel topics in complex network science, spanning from testing network dismantling algorithms, to link prediction, community detection, and higher order representations.
[1] EUROCONTROL. EUROCONTROL R&D Data Archive, 2024. Available from: https://www.eurocontrol.int/dashboard/rnd-data-archive
[2] López-Martín R, Zanin M. A large-scale data set of aircraft interaction networks. PLOS ONE. 2025, 20(11): e0336909
Link for joining remotely: https://us06web.zoom.us/j/81518999698?pwd=b4eHJ13TbIjoBh8mAQryWx10Ky2bX3.1
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