Networks are finite metric spaces, with distances defined by the shortest paths between
nodes. However, this is not the only form of network geometry: two others are the geometry …

Chaotic dynamics can be considered as a physical phenomenon that bridges the regular
evolution of systems with the random one. These two alternative states of physical …

The physics of non-equilibrium many-body systems is a rapidly expanding area of
theoretical physics. Traditionally employed in laser physics and superconducting kinetics …

Quantum computers, though not yet available on the market, will revolutionize the future of
information processing. Quantum computers for special purposes like quantum simulators …

In this paper, we extend a classical SIRS epidemic model with the infectious forces under
intervention strategies from a deterministic framework to a stochastic differential equation …

Deep learning is a broad set of techniques that uses multiple layers of representation to
automatically learn relevant features directly from structured data. Recently, such techniques …

This article discusses minimal model explanations, which we argue are distinct from various
causal, mechanical, difference-making, and so on, strategies prominent in the philosophical …

We analyze the betweenness centrality (BC) of nodes in large complex networks. In general,
the BC is increasing with connectivity as a power law with an exponent η. We find that for …

A novel, integrative approach to cities as complex adaptive systems, applicable to issues
ranging from innovation to economic prosperity to settlement patterns. Human beings …

In this article we review classical and recent results in anomalous diffusion and provide
mechanisms useful for the study of the fundamentals of certain processes, mainly in …