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 …

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

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

Most networked systems of scientific interest are characterized by temporal links, meaning
the network's structure changes over time. Link temporality has been shown to hinder many …

Recent studies on the controllability of complex systems offer a powerful mathematical
framework to systematically explore the structure–function relationship in biological, social …

The last decade has seen an explosion of research in network controllability. The present
article reviews some basic concepts, significant progress, important results and recent …

Our ability to manipulate the behavior of complex networks depends on the design of
efficient control algorithms and, critically, on the availability of an accurate and tractable …

In this paper, we focus on sensor placement in linear dynamic estimation, where the
objective is to place a small number of sensors in a system of interdependent states so to …

We are flooded with large-scale, dynamic, directed, networked data. Analyses requiring
exact comparisons between networks are computationally intractable, so new …

The present paper reports on our effort to characterize vortical interactions in complex fluid
flows through the use of network analysis. In particular, we examine the vortex interactions in …