# HETA — Hierarchical Edge Type Analysis

> HETA is a topology-driven tool for classifying every edge in a complex network into one of four structural types (BOND, Silk, Local Bridge, Global Bridge), without requiring any pre-defined community labels or edge weights.

## Authors

- Name: Chung-Yuan Huang (黃崇源) (corresponding author)
- Title: Full Professor, Department of CSIE, Chang Gung University
- Email: gscott@mail.cgu.edu.tw
- ORCID: https://orcid.org/0000-0002-8680-6755
- Google Scholar: https://scholar.google.com/citations?user=0klfzfAAAAAJ&hl=en
- Homepage: https://canslab1.github.io/

- Name: Wei-Chien-Benny Chin
- Affiliation: Co-author of the HETA paper

- Name: Yu-Hsiang Fu
- Affiliation: Co-author of the HETA paper

- Name: Yu-Shiuan Tsai
- Affiliation: Co-author of the HETA paper

## Software

- Name: HETA
- Language: Python
- License: MIT
- GitHub: https://github.com/canslab1/HETA
- README: https://canslab1.github.io/HETA/

## Publication

Huang, C.-Y., Chin, W. C. B., Fu, Y.-H., & Tsai, Y.-S. (2019). Beyond bond links in complex networks: Local bridges, global bridges and silk links. Physica A, 536, 121027.
DOI: https://doi.org/10.1016/j.physa.2019.04.263

## Lab

- CANS Lab (Complex Adaptive Networks and Systems Laboratory)
- Chang Gung University, Department of CSIE
- Website: https://canslab1.github.io/