A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Controlling large natural and technological networks is an outstanding challenge. It is
typically neither feasible nor necessary to control the entire network, prompting us to explore …

Controllability and observability have long been recognized as fundamental structural
properties of dynamical systems, but have recently seen renewed interest in the context of …

Controlling complex networks is of paramount importance in science and engineering.
Despite the recent development of structural controllability theory, we continue to lack a …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

The outstanding problem of controlling complex networks is relevant to many areas of
science and engineering, and has the potential to generate technological breakthroughs as …

We introduce the concept of control centrality to quantify the ability of a single node to control
a directed weighted network. We calculate the distribution of control centrality for several …

To meet ongoing cognitive demands, the human brain must seamlessly transition from one
brain state to another, in the process drawing on different cognitive systems. How does the …

Our ability to control complex systems is a fundamental challenge of contemporary science.
Recently introduced tools to identify the driver nodes, nodes through which we can achieve …