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…

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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…

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The goal of the workshop is to bring together researchers that work on various aspects of stochastic interacting systems in continuous space. This includes for example interacting particles in the continuum, their equilibrium and metastable behavior as well as stochastic dynamics of such systems. A special focus of the workshop…

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