5 papers
Optimal network structure for collective performance with strategic information sharing
Ye Wang, Andrea Civilini, Anzhi Sheng +3
Information sharing between individuals is crucial to improve performance in collective tasks. However, in a competitive world, individuals may be reluctant to share information wi…
Predicting Dynamics of Ultra-Large Complex Systems by Inferring Governing Equations
Qi Shao, Duxin Chen, Jiawen Chen +5
Predicting the behavior of ultra-large complex systems, from climate to biological and technological networks, is a central unsolved challenge. Existing approaches face a fundament…
Group dynamics shape contagion onsets and multistable active phases under collective reinforcement
Santiago Lamata-OtÃn, Federico Malizia, Leah A. Keating +4
Group-based reinforcement can induce discontinuous transitions from inactive to active phases in higher-order contagion models. However, these results are typically obtained on sta…
Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization
Ziwei Zheng, Huizhi Liang, Vaclav Snasel +4
Deep learning networks excel at classification, yet identifying minimal architectures that reliably solve a task remains challenging. We present a computational methodology for sys…
Hyperedge Overlap drives Synchronizability of Systems with Higher-Order interactions
Santiago Lamata-OtÃn, Federico Malizia, Vito Latora +2
The microscopic organization of dynamical systems coupled via higher-order interactions plays a pivotal role in understanding their collective behavior. In this paper, we introduce…