New Algorithm Finds Network Communities by Hunting for Core Nodes First
A newly published algorithm improves local community detection in multiplex networks by replacing fragile query seeds with detected core nodes ...
A newly published algorithm improves local community detection in multiplex networks by replacing fragile query seeds with detected core nodes ...
A new study shows that Dale's principle and modular connectivity boost the computational performance of recurrent neural networks, while Hopfield-style ...
Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...
A field experiment on the Tibetan Plateau shows that artificial light at night collapses moth visitation, boosts flies, and restructures ...
A new modeling study shows that partisan polarization emerges from the combined and interchangeable effects of nationalized political signals and ...
Recurrent neural networks trained on demanding multitask curricula spontaneously develop modular, brain-like architectures, showing that computational demands rather than wiring ...
A five-year-scale seasonal study in the Himalaya-Hengduan Mountains shows that broad-niched generalist pollinators such as bumblebees and flies maintain pollination ...
Researchers at Uppsala University have developed MOUFLON, a scalable fairness-aware community detection algorithm that balances modularity with demographic fairness across ...
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© 2025 Scienmag - Science Magazine