Author: Marianne de Bruin

Networks permeate every facet of modern life. Network science aims at understanding real-world systems across various domains, including biology, sociology, technology, and economics. Analysing patterns and interactions within networks provides insight into predicting behaviours, optimizing performance, and managing risks. Network science deepens our comprehension of interconnected systems, and drives innovations…

Read more

The field of mathematical foundations of complex networks has been flourishing in the past two decades. Complex networks are often modelled using random graphs, while stochastic processes on, and algorithms for, them are key to modelling network functionality.  Real-world complex networks are generally sparse, and highly inhomogeneous. Local convergence has…

Read more