As social distancing has become the new normal, it is eminent for enterprises and administrations to make decisions based on analytics on human proximity data Graph Analytics can serve as an essential technology to understand human network behaviors and contact tracing inferences in pandemic and post-pandemic scenarios A large amount of work has happened on epidemiology of pandemics However, a formal application of graph analytics backed by visualization and mapping of graph algorithms has remained neglected in pandemic scenarios This paper has addressed this important need backed by graph modeling, methods and analytics © 2020 CEUR-WS All rights reserved
Graph analytics on proximity data to fight contagion