Research Data Leeds Repository

Citation

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 Engineering and Physical Sciences > School of Mathematics
Related resources:	Location Type https://doi.org/10.1098/rspa.2021.0026 Publication https://eprints.whiterose.ac.uk/175500/ Publication
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
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ward, Jonathan https://orcid.org/0000-0002-2469-7768 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: j.a.ward@leeds.ac.uk Last Modified: 11 Jul 2024 10:39

Files

Documentation

README [3kB] README [3kB] README [3kB] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain File size: 3kB

Data

Network data in saucy readabe format [2MB] Network data in saucy readabe format [2MB] Network data in saucy readabe format [2MB] Security: Anyone File name: networkrepositorydata_scy_202021001.zip Content type: Data Mime-Type: application/zip File size: 2MB

Saucy output [2MB] Saucy output [2MB] Saucy output [2MB] Security: Anyone File name: networkrepositorydata_scyoutput_202021001.zip Content type: Data Mime-Type: application/zip File size: 2MB

GAP readable network autormorphism data [1MB] GAP readable network autormorphism data [1MB] GAP readable network autormorphism data [1MB] Security: Anyone File name: networkrepositorydata_gapinput_202021001.zip Content type: Data Mime-Type: application/zip File size: 1MB

csv file of network data [67kB] csv file of network data [67kB] csv file of network data [67kB] Security: Anyone File name: networkrepositorydata_orbitrepresentativeinfo_202021001.csv Content type: Data Mime-Type: text/csv File size: 67kB