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Full reconstruction of simplicial complexes from binary contagion and Ising data
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Data-driven recovery of topology is challenging for networks beyond pairwise interactions. The authors propose a framework to reconstruct complex networks with higher-order interactions from time series, focusing on networks with 2-simplexes where social contagion and Ising dynamics generate binary data.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.1eedf370e7fc47c2aaf713378643df6e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-30706-9