Research Article
Epidemic Spreading on Weighted Contact Networks
@INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2435, author={P. Schumm and C. Scoglio and D. Gruenbacher and T. Easton}, title={Epidemic Spreading on Weighted Contact Networks}, proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems}, publisher={IEEE}, proceedings_a={BIONETICS}, year={2008}, month={8}, keywords={Epidemiology agent based aggregate dynamic parallel network simulation weighted contact networks}, doi={10.4108/ICST.BIONETICS2007.2435} }- P. Schumm
C. Scoglio
D. Gruenbacher
T. Easton
Year: 2008
Epidemic Spreading on Weighted Contact Networks
BIONETICS
ICST
DOI: 10.4108/ICST.BIONETICS2007.2435
Abstract
The study of epidemics is a crucial issue to several areas. An epidemic can have devastating economic and social consequences. A single crop disease in Kansas could destroy the yearly income of many farmers. Previous work using graph theory has determined a universal epidemic threshold found in the graph topology for a binary contact network in the compartmental Susceptible-Infected (SI) analysis. We expand this threshold to a more realistic measure. A binary uniform level of contact within a society is too idealistic and an improved threshold is found in allowing a spectrum of contact within a contact network. The expanded contact network also allows for asymmetric contact such as a mother caring for her child. Further study in this area should lead to improved simulators, disease modeling, policies and control of infectious diseases and viruses.
