Spreading Processes over Multilayer and Interconnected Networks
This project advances the boundaries of network theory by analyzing spreading processes over multilayer and interconnected networks, which abound in nature and man-made infrastructures, and about which many interesting questions remain unanswered. Multilayer networks are an abstract representation where multiple types of links exist among nodes. Interconnected networks are an abstract representation where two or more simple networks, possibly with different and separate dynamics, are coupled to each other. The rationale for this project is that viral-spreading dynamics over multilayer and interconnected networks exhibit behaviors that cannot be attributed to single-network characteristics and play a highly relevant role in practice. This project uses rigorous mathematical tools from network science, spectral graph theory, nonlinear dynamics, stochastic processes, controls, game theory, and optimization.
Duration July 15 2014 - June 30 2017
Jose Marzo (Google Profile)
- F. Darabi Sahneh, C. Scoglio, P. Van Mieghem, "Coupling Threshold for Structural Transition in Interconnected Networks", submitted, 2014.
- P. Van Mieghem, C. Scoglio, F. Darabi Sahneh, "An Upper Bound for the Epidemic Threshold in Exact Markovian SIR and SIS Epidemics on Networks" Proceedings of IEEE Conference on Decision and Control, Los Angeles, California, Dec. 2014.
Supported by National Science Foundation under Award CIF-1423411. Any opinions, findings, and conclusions or recommendations expressed in this website are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.