New papers in Network Science

Commun. Phys.: Synchronization transitions and spike dynamics in a higher-order Kuramoto model with Lévy noise
https://www.nature.com/articles/s42005-026-02560-4

PNAS: Negative social ties as emerging risk factors for accelerated aging, inflammation, and multimorbidity
https://www.pnas.org/doi/abs/10.1073/pnas.2515331123?af=R

J. Mach. Learn. Res.: Two-way Node Popularity Model for Directed and Bipartite Networks
http://jmlr.org/papers/v27/24-0526.html

Chaos: Modulation of neuronal synchrony by population-level inhibitory delayed feedback
https://pubs.aip.org/aip/cha/article/36/3/033105/3381888/Modulation-of-neuronal-synchrony-by-population

Phys. Rev. E: Renormalization of interacting random graph models
http://link.aps.org/doi/10.1103/34n8-pw8x

J. Stat. Mech.: The dynamics and control of false information spreading model classified by node influence difference
https://iopscience.iop.org/article/10.1088/1742-5468/ae4585

npj Complex.: Uneven distribution of knowledge seeking for female researchers
https://www.nature.com/articles/s44260-025-00067-7

Sci. Rep.: Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction
https://www.nature.com/articles/s41598-026-41325-5

Chaos: Congestion and extreme events in urban street networks
https://pubs.aip.org/aip/cha/article/36/2/023134/3380493/Congestion-and-extreme-events-in-urban-street

Phys. Rev. E: Susceptibility for extremely low external fluctuations and critical behavior of Greenberg-Hastings neuronal model
http://link.aps.org/doi/10.1103/5l8g-w4cq

Soc. Networks: Networked philanthropy during COVID-19: A case study of community brokerage in Hong Kong
https://www.sciencedirect.com/science/article/pii/S037887332600016X

Phys. Rev. Research: Belief propagation for finite networks using a symmetry-breaking source node
http://link.aps.org/doi/10.1103/pgxg-mhjr

Phys. Rev. E: $Q$-learning-based community detection algorithm
http://link.aps.org/doi/10.1103/kdcq-qfww

PLOS ONE: Critical node identification and resilience analysis against cascading failures
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344005

J. Mach. Learn. Res.: Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
http://jmlr.org/papers/v27/25-1214.html

Nat. Commun.: Unveiling individual and collective temporal patterns in the tanker shipping network
https://www.nature.com/articles/s41467-026-70013-1

Nat. Commun.: Inverse problems for dynamic patterns in coupled oscillator networks: when larger networks are simpler
https://www.nature.com/articles/s41467-026-70016-y

Phys. Rev. Research: Predicting the mechanical properties of spring networks
http://link.aps.org/doi/10.1103/17sg-gzhl

PNAS Nexus: Efficient planning and implementation of optimal foraging strategies under energetic constraints
http://doi.org/10.1093/pnasnexus/pgag009

SIAM J. Discrete Math.: On Off-Diagonal F-Ramsey Numbers
https://epubs.siam.org/doi/abs/10.1137/25M1783679?ai=sa&mi=9cks17&af=R

EPJ Data Sci.: Spatiotemporal dynamics of human mobility after lifting of COVID-19 control measures in China: evidence from Nanjing City’s Spring Festival
https://epjds.epj.org/10.1140/epjds/s13688-026-00622-9

Commun. Phys.: Information bounds production in replicator systems
https://www.nature.com/articles/s42005-026-02527-5

Commun. Phys.: Equitability and explosive synchronisation in multiplex and higher-order networks
https://www.nature.com/articles/s42005-026-02543-5

Sci. Rep.: Kuroshio Corridor: larval dispersal networks explain geographically independent connectivity among coral habitats in Japan
https://www.nature.com/articles/s41598-026-40448-z

Front. Phys.: Dynamic social network anomalous behavior detection based on spatiotemporal multi-view graph attention fusion network
https://www.frontiersin.org/articles/10.3389/fphy.2026.1786937

SIAM J. Discrete Math.: Transversal Numbers of Simplicial Polytopes, Spheres, and Pure Complexes
https://epubs.siam.org/doi/abs/10.1137/24M1682361?ai=sa&mi=9cks17&af=R

Chaos: Inference of the size of nonlinear network systems from perceptible dynamics
https://pubs.aip.org/aip/cha/article/36/2/023147/3381078/Inference-of-the-size-of-nonlinear-network-systems

Chaos: Synchronization ability of two-layer chain network: Directed vs undirected
https://pubs.aip.org/aip/cha/article/36/2/023138/3380801/Synchronization-ability-of-two-layer-chain-network

PLOS Comput. Biol.: Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013995

EPL: Contagion mean-field model for transport in urban traffic networks
https://iopscience.iop.org/article/10.1209/0295-5075/ae3cb8