https://github.com/dufourc1/multiplex_limit.jl

Code for the paper "Inference for decorated graphs and application to multiplex networks" (Dufour and Olhede 2024)
https://github.com/dufourc1/multiplex_limit.jl

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Code for the paper "Inference for decorated graphs and application to multiplex networks" (Dufour and Olhede 2024)

• Host: GitHub
• URL: https://github.com/dufourc1/multiplex_limit.jl
• Owner: dufourc1
• License: mit
• Created: 2024-03-26T10:30:43.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-08-23T07:33:32.000Z (3 months ago)
• Last Synced: 2024-08-24T07:23:07.393Z (3 months ago)
• Language: Julia
• Homepage: http://arxiv.org/abs/2408.12339
• Size: 54.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Code for "Inference for decorated graphs and application to multiplex networks" (Dufour and Olhede, 2024)

The images in the paper were done with `Julia  1.10.1` and the manifest file is provided.

To run the data analysis experiments, you need to download the data from the following links, and put it in a `data` folder in the root directory of the project:

- Multiplex network of human diseases [https://github.com/manlius/MultiplexDiseasome/tree/master](https://github.com/manlius/MultiplexDiseasome/tree/master)

- Sociopattern high school contact dataset [https://networks.skewed.de/net/sp_high_school](https://networks.skewed.de/net/sp_high_school)

(Please note that a recent change in `NetworkHistogram.jl` was made in the computation of the initial bandwidth. To 

get exactly the results from the paper, use `> add NetworkHistogram#legacy_bandwidth` when installing the package; using the `Manifest.toml` file will install the correct version.)