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Dimension-reduction of dynamics on real-world networks with symmetry - network data.

Ward, Jonathan (2020) Dimension-reduction of dynamics on real-world networks with symmetry - network data. University of Leeds. [Dataset] https://doi.org/10.5518/911

Dataset description

Network data for the paper "Dimension-reduction of dynamics on real-world networks with symmetry". This includes, for each network: (i) network data in a format readable by the sparse graph automorphism generator code saucy (http://vlsicad.eecs.umich.edu/BK/SAUCY/) (ii) output from the sparse graph automorphism generator code (iii) GAP (https://www.gap-system.org) readable information derived from the saucy output (iv) csv file containing number of orbits representatives (i.e. |S/G| for binary state-space S and automorphism group G) This data can be used to identify real-world networks with significant lumping, i.e. cases where network symmetries facilitate the exact mathematical analysi of dynamical processes (specifically binary state-space single-vertex-transition models) on those networks. The networks were originally downloaded from http://networkrepository.com, licensed under a Creative Commons Attribution-ShareAlike License.

Subjects: G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions: Faculty of Mathematics and Physical Sciences > School of Mathematics
License: Creative Commons Attribution-ShareAlike4.0 International (CC BY-SA 4.0)
Date deposited: 18 Dec 2020 09:09
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/795

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