Network partitioning for mitigation of epidemics
PIs: Caterina Scoglio
Student: Phillip Schumm.
This project aims to explore the applicability of network partitioning to epidemic management and control. The current focus of this work is on a metric known as modularity that serves as an objective function to sort nodes into communities such that nodes are well-connected within communities and sparsely connected between communities. The assignments of nodes into communities could be useful as either possible quarantine strategies or regional threat classifications.
Presentations & Publications
- P. Schumm and C. Scoglio. Bloom: A Stochastic Growth-based Fast Method of Community Detection in Networks, Journal of Computational Science, Journal of Computational Science, Volume 3, Issue 5, September 2012, Pages 356–366.