Mapping flows on hypergraphs
@inproceedings{Eriksson2021MappingFO, title={Mapping flows on hypergraphs}, author={A. Eriksson and D. Edler and A. Rojas and M. Rosvall}, year={2021} }
Hypergraphs offer an explicit formalism to describe multibody interactions in complex systems. To connect dynamics and function in systems with these higher-order interactions, network scientists have generalised random-walk models to hypergraphs and studied the multibody effects on flow-based centrality measures. But mapping the large-scale structure of those flows requires effective community detection methods. We derive unipartite, bipartite, and multilayer network representations of… CONTINUE READING
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SHOWING 1-10 OF 39 REFERENCES
Maps of random walks on complex networks reveal community structure
- Computer Science, Physics
- Proceedings of the National Academy of Sciences
- 2008
- 2,941
- Highly Influential
- PDF
Memory in network flows and its effects on spreading dynamics and community detection.
- Computer Science, Physics
- Nature communications
- 2014
- 230
- PDF
Efficient community detection of network flows for varying Markov times and bipartite networks
- Computer Science, Physics
- Physical review. E
- 2016
- 33
- PDF
A local perspective on community structure in multilayer networks
- Mathematics, Computer Science
- Netw. Sci.
- 2017
- 38
- PDF
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
- Computer Science, Physics
- Science
- 2010
- 1,428
- PDF
Stability of graph communities across time scales
- Computer Science, Mathematics
- Proceedings of the National Academy of Sciences
- 2010
- 356
- PDF
Networks beyond pairwise interactions: structure and dynamics
- Computer Science, Physics
- ArXiv
- 2020
- 57
- PDF
Diffusion on complex networks: a way to probe their large-scale topological structures
- Mathematics, Physics
- 2004
- 60
- PDF