Uncovering complex network structures in nature
Wednesday, December 10, 2014 - 09:30
in Mathematics & Economics
The global spread of Ebola is due to the complex interactions between individuals, societies, and transportation and trade networks. Understanding and building appropriate statistical and mathematical models of these interactions is vital to responding to the challenges of living in a networked world. There are, of course, many other examples of complex networks—from national power grids and airline networks to social networks, neuronal networks and protein-protein interactions.