The biggest challenge for Ukraine’s power system after the war will not be a shortage of generation capacity, but a lack of ...

Dynamic network flow optimisation for evacuation planning focuses on models and algorithms that allocate and route evacuees through a transportation network over time, seeking to minimise total ...

A consensus algorithm is the rule a distributed network follows to agree on which new block is added to a blockchain, so every honest node ends up with the same ledger without trusting any single ...

How platforms rank content has become a central issue in the digital information ecosystem. Algorithms determine what millions of users see each day, shaping which voices gain visibility and how ...

Leveraging ML models to directly learn network flow configurations from empirical data can deliver robustly high performance, surpassing that of demand-prediction methods. To gain a deeper theoretical ...

Abstract: Multistate flow network (MFN) reliability problem has attracted considerable interest in the past decades. MFN reliability subject to flow loss, defined as the probability that the demand at ...

Flow decided against rolling back its blockchain after a $3.9 million exploit, opting instead for a recovery plan that preserves transaction history. The initial rollback proposal faced criticism for ...

We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves ...

Abstract: Distribution network optimization is represented by non-convex power flow equations, where traditional convex relaxation methods may lead to inaccurate or infeasible solutions. To ...