# BCAT — Bounded Confidence and Adoption Threshold Model

> BCAT is a mixed opinion dynamics and innovation diffusion simulation model for exploring the 'best game no one played' phenomenon, combining bounded confidence opinion formation with adoption threshold innovation diffusion on social networks.

## Authors

- Name: Chung-Yuan Huang (黃崇源)
- 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: Sheng-Wen Wang
- Affiliation: Department of Finance and Information, National Kaohsiung University of Science and Technology
- Email: swwang@nkust.edu.tw

## Software

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

## Publication

Manuscript under review at PLOS ONE (2026). Related prior work: Huang, C.-Y. (2022). Why the Best Games May Not Always Win: Innovation Diffusion in Social Networks. IEEE Access, 10, 89199-89213. DOI: https://doi.org/10.1109/ACCESS.2022.3200519

## Lab

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