Python implementation of modular centralities used to identify influential nodes in complex networks. Based on 3 articles:
- Participation coefficient: Guimera, R., & Amaral, L. A. N. (2005). Functional cartography of complex metabolic networks. nature, 433(7028), 895-900.
- Community based centrality: Zhao, Z., Wang, X., Zhang, W., & Zhu, Z. (2015). A community-based approach to identifying influential spreaders. Entropy, 17(4), 2228-2252.
- Bridging centrality: Hwang, W., Cho, Y. R., Zhang, A., & Ramanathan, M. (2006, March). Bridging centrality: identifying bridging nodes in scale-free networks. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 20-23).