Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …

Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …

Identifying power-law scaling in real networks—indicative of preferential attachment—has
proved controversial. Critics argue that measuring the temporal evolution of a network …

Network representations often cannot fully account for the structural richness of complex
systems spanning multiple levels of organisation. Recently proposed high-order information …

Epidemic models often reflect characteristic features of infectious spreading processes by
coupled nonlinear differential equations considering different states of health (such as …

Energy poverty describes a condition of energy-related social deprivation of households,
usually associated to inadequate access to energy services, to dissatisfaction of basic …

This PhD research examined the critical success factors of start-ups transitioning from their
initial formation to a more mature, post-start-up stage. The study identified factors that …

Differential equations are a ubiquitous tool to study dynamics, ranging from physical systems
to complex systems, where a large number of agents interact through a graph with non-trivial …

This book set out to develop a modern guide to networks, where 'networks' are defined as
structures of social relationships between people, groups or organizations that create value …

Data-driven approximations of ordinary differential equations offer a promising alternative to
classical methods of discovering a dynamical system model, particularly in complex systems …