Hypergraphs, or generalization of graphs such that edges can contain more than two nodes, have become increasingly prominent in understanding complex network analysis. Unlike graphs, hypergraphs have relatively few supporting platforms, and such dearth presents a barrier to more widespread adaptation of hypergraph computational toolboxes that could enable further research in several areas. Here, we introduce HyperRD, a Python package for hypergraph computation, simulation, and interoperability with other powerful Python packages in graph and hypergraph research. Then, we will introduce two models on hypergraph, the general Schelling's model and the SIR model, and simulate them with HyperRD.
@article{arxiv.2401.03917,
title = {Toward a comprehensive simulation framework for hypergraphs: a Python-base approach},
author = {Quoc Chuong Nguyen and Trung Kien Le},
journal= {arXiv preprint arXiv:2401.03917},
year = {2024}
}