Collins Conference Room

All day


This event is private.

Collections of networks are at the core of modern society, spanning technological, biological and social systems. In the past decade a “science of networks” has been emerging, but it has focused largely on single networks treated in isolation. In reality, individual networks often come  together to form a larger system of interdependent networks (i.e., networks of networks).  For instance communication networks rely on the power grid, yet the power grid also relies on communication networks (for transmission of data used to run control systems). Likewise, in biological systems genetic regulatory and protein interaction networks are interdependent (genes give rise to
proteins which interact with other proteins which in-turn activate or inhibit other genes). Social systems (economies and ecologies) are composed of collections of overlapping and interdependent networks. Furthermore, there is evidence that networks are becoming increasingly interdependent, ranging from the globalization of business enterprises and financial markets to the rise of collections of online social networks (e.g., Facebook, Myspace, Twitter, Orkut, Linked-in) connecting people throughout the globe (relying on the WWW, Internet, electric grids and transportation networks, while at the same time enabling ideas and diseases to cascade). This workshop will bring together a collection of scientists and engineers studying interdependencies among different types of networks studied from complementary perspectives. Correspondingly, these individuals also bring to the discussion diverse data sets on which to test theories we will develop. The goal is to identify and understand the unforeseen consequences of interactions – changes in network resilience and robustness, potential for increased adaptability, increased likelihood of cascading failures, and emergent properties such as the lowering of percolation thresholds – as well as co-evolution of networks. We will bring together theorists building mathematical models of interacting networks together with practitioners possessing speci?c domain knowledge. Theorists will leave the working group better equipped to develop realistic models and practitioners will leave with enhanced understanding of emergent properties in their systems, in particular how interactions can enhance or alternately threaten their systems.