Identifying diffusion sources for spreading process in complex networks

Abstract

Identifying the diffusion sources for spreading process in complex network is one of the significant problems in the field of network science. From the previous research, a theoretical framework is able to solve the diffusion source localization problem efficiently as the inverse problem, with minimum identified messenger nodes. Hence, based on this framework, in this project, a simulation program with user interface was developed using Python. In this report, the overview of the framework and simulation program would be introduced. In addition, from the simulation results, the performance of the program and framework are evaluated and discussed.