Research Data Leeds Repository

Citation

Ward, Jonathan (2022) Benchmark testing networks and figure files. University of Leeds. [Dataset] https://doi.org/10.5518/1076

Dataset description

Matlab code and data to produce the figures in "Micro-scale foundation with error quantification for the approximation of dynamics on networks", Communications Physics, 2022, https://doi.org/10.1038/s42005-022-00834-1

Keywords:	Network, mean-field approximation, dynamics on networks, mathematics, applied mathematics
Subjects:	G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Related resources:	Location Type https://doi.org/10.1038/s42005-022-00834-1 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	25 Mar 2022 14:14
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/945
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: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: j.a.ward@leeds.ac.uk Last Modified: 19 Jun 2024 14:06

Files

Documentation

README [4kB] README [4kB] README [4kB] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Data

Benchmark testing networks and figure files data and code [281MB] Benchmark testing networks and figure files data and code [281MB] Benchmark testing networks and figure files data and code [281MB] Security: Anyone File name: Approx_Lumping_Data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 281MB