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Dataset assetOpen Source CommunityNetwork ScienceComplex Systems
Generative small-world graphs
This dataset contains generated small‑world graphs and their topological analyses, intended for studying how short‑range and long‑range connections differently modulate the dynamics and states of small‑world networks.
Source
github
Created
Sep 24, 2021
Updated
Dec 8, 2021
Signals
94 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Content
- Generative small‑world graphs + topological analysis: Includes generated small‑world graphs and their topological analysis.
- Kuramoto's coupled oscillators on the small‑world graph: Includes simulations of Kuramoto‑coupled oscillators based on the small‑world graph.
Installation and Testing
- Installation: Clone the repository via Git to obtain the dataset and simulation code.
- Testing: Includes various simulation and analysis scripts to reproduce the small‑world network and Kuramoto model data and figures.
Dependencies
- Python 3.x
- networkx 2.6.x
- numpy 1.20.x
- scipy 1.5.0
- pandas 1.3.x
- dominance‑analysis 1.1.x
- ppscore 1.2.0
Authors
- Simon Arvin
- Andreas Nørgaard Glud
- Keisuke Yonehara
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