Protection Strategy for Edge-Weighted Graphs in Disease Spread

Fake news, viruses on computer systems or infectious diseases on communities are some of the problems that are addressed by researchers dedicated to study complex networks. The immunization process is the solution to these challenges and hence the importance of obtaining immunization strategies that control these spreads. In this paper, we evaluate the effectiveness of the DIL-W-alpha ranking in the immunization of nodes that are attacked by an infectious disease that spreads on an edge-weighted graph using a graph-based SIR model. The experimentation was done on real and scale-free networks and the results illustrate the benefits of this ranking.

Automated summary

Researchers in complex networks study problems like fake news, computer viruses, and infectious diseases, with immunization being a key solution. This paper evaluates the effectiveness of DIL-W-alpha ranking in immunization strategies against infectious diseases on edge-weighted graphs, showing benefits in real and scale-free networks.