New papers in Network Science - 2026/02/17

[network...@gmail.com]

Here are 7 new articles in Network Science:

Chaos: An exact moment-based approach for high-order chemical reaction–diffusion networks: From mass action to Hill functions
https://pubs.aip.org/aip/cha/article/36/2/023122/3379357/An-exact-moment-based-approach-for-high-order

Nat. Commun.: The network architecture of general intelligence in the human connectome
https://www.nature.com/articles/s41467-026-68698-5

EPJ Data Sci.: Decentralised bottleneck prioritisation strategy for traffic flow improvement
https://epjds.epj.org/10.1140/epjds/s13688-026-00617-6

Appl. Math. Comput.: Coevolution modeling for network public opinion with bidirectional feedback mechanism
https://www.sciencedirect.com/science/article/pii/S0096300326000603

J. Phys. Complex.: How do probabilistic graphical models and graph neural networks look at network data?
https://iopscience.iop.org/article/10.1088/2632-072X/ae3ec5

Sci. Rep.: Accumulated local effects and graph neural networks for link prediction
https://www.nature.com/articles/s41598-026-39000-w

Phys. Rev. Research: Reproducing the first and second moments of empirical degree distributions
http://link.aps.org/doi/10.1103/3vtj-5nlt

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