New papers in Network Science - 2023/10/26

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Oct 26, 2023, 7:06:56 AM10/26/23
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Here are 10 new articles in Network Science:

Chaos: On epidemic spreading in metapopulation networks with time-varying contact patterns
https://pubs.aip.org/aip/cha/article/33/9/093142/2913279/On-epidemic-spreading-in-metapopulation-networks

Phys. Rev. E: Unconventional criticality, scaling breakdown, and diverse universality classes in the Wilson-Cowan model of neural dynamics
http://link.aps.org/doi/10.1103/PhysRevE.108.034110

Chaos: Toward dynamic stability assessment of power grid topologies using graph neural networks
https://pubs.aip.org/aip/cha/article/33/10/103103/2914062/Toward-dynamic-stability-assessment-of-power-grid

Chaos: Synchronization, clustering, and weak chimeras in a densely coupled transcription-based oscillator model for split circadian rhythms
https://pubs.aip.org/aip/cha/article/33/8/083105/2905531/Synchronization-clustering-and-weak-chimeras-in-a

SIAM J. Appl. Dyn. Syst.: Equilibria Analysis of a Networked Bivirus Epidemic Model Using Poincaré–Hopf and Manifold Theory
https://epubs.siam.org/doi/abs/10.1137/22M1529981?af=R

Chaos: Designing spiking neural networks for robust and reconfigurable computation
https://pubs.aip.org/aip/cha/article/33/8/083143/2907442/Designing-spiking-neural-networks-for-robust-and

SIAM J. Discrete Math.: Extremal Graph Realizations and Graph Laplacian Eigenvalues
https://epubs.siam.org/doi/abs/10.1137/22M1504421?ai=sa&mi=9cks17&af=R

New J. Phys.: Interaction-motif-based classification of self-organizing metabolic cycles
http://iopscience.iop.org/article/10.1088/1367-2630/acfdc2

J. R. Soc. Interface: Impact of misinformation in the evolution of collective cooperation on networks
https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2023.0295?af=R

PLOS Comput. Biol.: Short-term neuronal and synaptic plasticity act in synergy for deviance detection in spiking networks
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011554

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Further details can be found at https://networkspapers.antoineallard.info; comments or suggestions are welcome.
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