Our digital society relies on commerce, work, food provisioning, transportation,energy, information, social and data networks, and many more, that interact to make the system as a whole “work”. For the first time in human history, all of these networks have a common mediator and representation system: the information and data networks. Thus we can envision to model and understand these complex networks together as an observable and formal mathematical system. This talk will present a possible approach based on stochastic networks that leads to closed form mathematical solutions. We will illustrate the approach through specific results fornetworks that simultaneously model commerce, transportation and communications.
Contact: Keith Briggs () or Richard G. Clegg (richard@richardclegg.org)