New papers in Network Science - 2023/11/07

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Nov 7, 2023, 6:07:13 AM11/7/23
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Here are 10 new articles in Network Science:

Appl. Math. Comput.: Maximization of the spectral radius of block graphs with a given dissociation number
https://www.sciencedirect.com/science/article/pii/S0096300323005933

Appl. Math. Comput.: Reliability evaluation for bijection-connected networks based on the super Pk-connectivity
https://www.sciencedirect.com/science/article/pii/S0096300323005660

Chaos: Random templex encodes topological tipping points in noise-driven chaotic dynamics
https://pubs.aip.org/aip/cha/article/33/10/103141/2919107/Random-templex-encodes-topological-tipping-points

Phys. Rev. Research: Multiscale network renormalization: Scale-invariance without geometry
http://link.aps.org/doi/10.1103/PhysRevResearch.5.043101

Research: Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations
https://web114-aaas-prod-2492.literatumonline.com/doi/abs/10.34133/research.0171?af=R

Phys. Rev. E: Distribution of shortest path lengths on trees of a given size in subcritical Erdős-Rényi networks
http://link.aps.org/doi/10.1103/PhysRevE.108.044310

Front. Phys.: Competitive information propagation considering local-global prevalence on multi-layer interconnected networks
https://www.frontiersin.org/articles/10.3389/fphy.2023.1293177

J. Mach. Learn. Res.: Community models for networks observed through edge nominations
http://jmlr.org/papers/v24/22-0313.html

Chaos: Global efficiency and network structure of urban traffic flows: A percolation-based empirical analysis
https://pubs.aip.org/aip/cha/article/33/11/113104/2919227/Global-efficiency-and-network-structure-of-urban

iScience: A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks
https://www.sciencedirect.com/science/article/pii/S2589004223023210

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