It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

Synchronization processes in populations of locally interacting elements are the focus of
intense research in physical, biological, chemical, technological and social systems. The …

Statistical physics has proven to be a fruitful framework to describe phenomena outside the
realm of traditional physics. Recent years have witnessed an attempt by physicists to study …

Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

Adaptive networks appear in many biological applications. They combine topological
evolution of the network with dynamics in the network nodes. Recently, the dynamics of …

Over the past decades it has become clear that the metaphor of networks–ensembles of
discrete nodes connected by links–offers a powerful conceptual framework for the …

In previous work [JD Skufca and E. Bollt, Mathematical Biosciences and Engineering, 1
(2004), pp. 347-359], empirical evidence indicated that a time-varying network could …

Dynamical organization of connection weights is studied in scale-free networks of chaotic
oscillators, where the coupling strength of a node from its neighbors develops adaptively …

Social network structure has often been attributed to two network evolution mechanisms—
triadic closure and choice homophily—which are commonly considered independently or …