Complex networks with complex nodes

The statistical physics perspective has provided a wealth of understanding about the structure and function of massive networks including phase transition behaviors, non-trivial network structures such as modularity and heterogeneous degree distributions, and the analysis of the dynamics unfolding on networks. It reveals the massive implications that network structure can have on network function and resilience. Yet, complementary to this perspective of complex networks, simple networks of nonlinear nodes have been studied extensively in fields of dynamical systems and control theory. Real world networks -- from brain networks to social networks to critical infrastructure networks -- lie at the interface of both, with nonlinear nodes and highly non-trivial network structures. We are at a point in time when there is opportunity for these fields to come together. This talk will survey results of a recent project at three different scales on the complex node versus complex network spectrum, from synchronization in nanoscale oscillations to hierarchy and stability in multilayered social systems of macaque monkeys.