DATASET

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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.

Updated 12/8/2021

github

Description

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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Topics

Network Science

Complex Systems

Source

Organization: github

Created: 9/24/2021

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