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

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DataCite Commons2024-07-11 更新2024-07-13 收录
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http://archive.researchdata.leeds.ac.uk/795/
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资源简介:
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 analysis 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.
提供机构:
University of Leeds
创建时间:
2020-12-18
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