In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

Societal transformations are necessary to address critical global challenges, such as
mitigation of anthropogenic climate change and reaching UN sustainable development …

Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …

The objective of this paper is to provide a systematic view on the problem of vulnerability
and risk analysis of critical infrastructures. Reflections are made on the inherent complexities …

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 …

Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Complex networks have been studied intensively for a decade, but research still focuses on
the limited case of a single, non-interacting network,,,,,,,,,,,,,. Modern systems are coupled …

The renormalization group is the cornerstone of the modern theory of universality and phase
transitions and it is a powerful tool to scrutinize symmetries and organizational scales in …

The purpose of this paper is to advance supply chain network theory by applying theoretical
and empirical developments in complex network literature to the context of supply chains as …