# MV17 — Multi-Attribute Node Importance Ranking in Complex Networks

> MV17 is a GUI application for identifying influential spreaders in complex networks by combining global diversity (k-shell entropy) and local topology features into a robust two-step node ranking framework.

## 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: Yu-Hsiang Fu
- Affiliation: Department of Computer Science, National Chiao Tung University, Taiwan

- Name: Chuen-Tsai Sun
- Affiliation: Department of Computer Science, National Chiao Tung University, Taiwan

## Software

- Name: MV17
- Language: Python
- License: MIT
- GitHub: https://github.com/canslab1/MV17
- README: https://canslab1.github.io/MV17/

## Publication

Fu, Y.-H., Huang, C.-Y., & Sun, C.-T. (2015). Using global diversity and local topology features to identify influential network spreaders. Physica A, 433, 344-355.
DOI: https://doi.org/10.1016/j.physa.2015.03.042

## Lab

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