Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Contagious diseases, such as SARS and COVID-19, bring a large amount of damage to human’s life and world economy. Pathogens spread among individuals through the contact network. It is observed that most social networks show a power-law degree distribution, implying that hubs exist in these networks. Finding underlying super-spreaders (hubs) and isolating or immunizing them can decrease the pathogen spreading dramatically. In this project, we propose a new framework based on “Biased Friendship Paradox” (BFP) to identify latent super-spreaders effectively and efficiently with- out global knowledge of the network. Using this method to guide isolation and immunization will save a large amount of time and resources.
Yuanzhu Chen
Zhihao Dong
Verafin Inc.
Computer science
Information and cultural industries
Memorial University of Newfoundland
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.