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 …

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …

Collective decision making processes lie at the heart of many social, political, and economic
challenges. The classical voter model is a well-established conceptual model to study such …

Develo** measures for rapid and early detection of disease re-emergence is important to
perform science-based risk assessment of epidemic threats. In the past few years, several …

We consider an adaptive network, whose connection weights coevolve in congruence with
the dynamical states of the local nodes that are under the influence of an external stimulus …

Primary dystonia is thought to emerge through abnormal functional relationships between
basal ganglia and cerebellar motor circuits. These interactions may differ across disease …

Adaptive networks are a versatile approach to model phenomena such as contagion and
spreading dynamics, critical transitions and structure formation that emerge from the …

We study the relative importance of two key control measures for epidemic spreading:
endogenous social self-distancing and exogenous imposed quarantine. We use the …

We study the multiscale structure of the Jain–Krishna adaptive network model. This model
describes the co-evolution of a set of continuous-time autocatalytic ordinary differential …

Energy projects have the potential to provide critical services for human well-being and help
eradicate poverty. However, too many projects fail because their approach oversimplifies the …