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Dynamical models on graphs or random graphs are increasingly used in applied sciences as mathematical tools to study complex systems whose exact structure is too complicated to be known in detail. Besides its importance in applied sciences, the field is increasingly attracting the interest of mathematicians and theoretical physicists also because of the fundamental phenomena (synchronization, phase transitions etc.) that can be studied in the relatively simple framework of dynamical models of random graphs. This volume was developed from the Mathematical Technology of Networks conference held in Bielefeld, Germany in December 2013. The conference was designed to bring together functional analysts, mathematical physicists, and experts in dynamical systems. The contributors to this volume explore the interplay between theoretical and applied aspects of discrete and continuous graphs. Their work helps to close the gap between different avenues of research on graphs, including metric graphs and ramified structures.

Mathematical Technology of Networks: Bielefeld, December 2013

Lack of ground state for NLSE on bridge-type graphs.- Dynamics on a graph as the limit of the dynamics of a "fat graph".- Instability of stationary solutions of evolution.- Statistical characterization of a small world network applied to forest fires.- Network dynamics of an inverse problem.- Spectral inequalities for quantum graphs.- Intrinsic metrics on graphs - a survey.- Spectral gap for complete graphs: upper and lower estimates.- Sharp spectral estimates for periodic matrix-valued Jacobi operators.- Identifying key nodes in social networks using multi-criteria decision-making tools.- On band-gap structure of spectrum.- Spectra, energy and Laplacian energy of strong double graphs.- System/environment duality of nonequilibrium network observables.