A New Algorithm for Contact Trace Network Evolution and Visualization

The necessity for contact tracing in the fight against infectious diseases including pandemics like COVID 19 cannot be overemphasized.One of the obvious challenges is how to device practical strategies for computational evolution and construction of a homogenous network for contact tracing.A second challenge is how to evolve practical tools and algorithms for the visualization of contact network that models transmission.This research evolves a new algorithm which first, builds a new specialized data structure known as PiVector, and then a corresponding contact network visualization system.The resulting network could be used for contact tracing of the transmission of infectious diseases.This work practically demonstrates a programmatic and data-driven approach to network evolution, construction and visualization.This work was implemented using Python Programing Language and other related data mining technologies.