Research news on Real world networks

Real world networks, as physical systems, are large-scale assemblages of interacting entities—such as infrastructure components, biological units, or technological devices—whose connections and dynamics are instantiated in material space and time. They are typically represented as graphs in which nodes correspond to physical objects (e.g., routers, power substations, neurons, or transportation hubs) and edges represent actual physical or functional interactions (e.g., cables, transmission lines, synapses, or routes). Their structure often exhibits nontrivial properties such as heterogeneity, modularity, and small-world or scale-free characteristics, which critically influence robustness, failure propagation, transport efficiency, and collective dynamical behavior.

Exploiting photon colors for a high-performance quantum internet

Data security on the internet is under threat: in the future, quantum computers could decode even encrypted files sent over the internet in no time. Researchers worldwide are, therefore, experimenting with quantum networks ...

How to track important changes in a dynamic network

Networks can represent changing systems, like the spread of an epidemic or the growth of groups in a population of people. But the structure of these networks can change, too, as links appear or vanish over time. To better ...

Validating the low-rank hypothesis in complex systems

In a new study, scientists have investigated the pervasive low-rank hypothesis in complex systems, demonstrating that despite high-dimensional nonlinear dynamics, many real networks exhibit rapidly decreasing singular values, ...

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