Dynamics of competing infectious agents in complex networks : a simulation study

Abstract

Complex networks exist everywhere in our daily life, including the Internet and different social relations. Inside these networks, there might be some competing infectious agents spreading among different individuals. Hence, the study of dynamics of competing infectious agents is becoming a popular research topic.

In this project, simulation models of the Barabási-Albert scale-free network and Erdős–Rényi random network were implemented by C programming language, and the spreading of one, two and three infectious agents were studied by using the two network models and the SIS Epidemic model.

From different experiments by changing spreading rates of the agents, changing agent amounts, changing network topology and comparison between the two different networks, interesting insides were discovered from the results and several conclusions were made.