Hypergraph Dangling Centrality and DC-HPC: Code, Processed Data, and Reproducibility Materials
This repository contains the source code, processed analytical data, and reproducibility materials supporting the manuscript “Dangling Centrality in Hypergraphs: Structural Vulnerability and Centrality-Guided Overlapping Community Discovery.” The archive includes implementations of Hypergraph Dangling Centrality, conventional hypergraph centralities, baseline hyperedge-percolation community detection, the proposed DC-HPC framework, Spearman rank-correlation analysis, and HDC-, hyperdegree-, and random-seed community-discovery experiments. The study uses the Enron e-mail, NDC-classes, and Walmart Trips hypergraph datasets obtained from the Cornell Higher-Order Network Dataset Repository.
Authors
- Ubaida Fatima (ORCID: https://orcid.org/0000-0003-0372-0858)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-24
- DOI
- https://doi.org/10.5281/zenodo.22944182
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00