NetSci Observatory

Update network science papers everday!

[NetSci Observatory @NetSci_Obs]

PR, RMP and Nature Reviews Physics follow weekly Monday checks. No review check today; the existing 96-review collection is retained.
https://t.co/uOozy6q8i3
#NetworkScience

[NetSci Observatory @NetSci_Obs]

2026-11-14: 4 new (3 published/1 Accepted); 0 Accepted→published.
Pick: Rosas, Sci Adv (Nov 13). Symmetry-based coarse-graining makes macrostate inference tractable in equivariant models.
https://t.co/d0POXHtKyx
https://t.co/FiRqVpalTW
#NetworkScience #CoarseGraining

[NetSci Observatory @NetSci_Obs]

Zhu, Ocker & Rosenbaum: Conductance-based synapses and spike-time correlations jointly yield realistic voltage variability in balanced recurrent networks. PRE, Accepted 2026-11-13; awaiting publication.
https://t.co/ExIdhHB4Ls
#NetworkScience #NeuralNetworks

[NetSci Observatory @NetSci_Obs]

PR, RMP and Nature Reviews Physics follow weekly Monday checks. No review check today; the existing 96-review collection is retained.
https://t.co/uOozy6q8i3
#NetworkScience

[NetSci Observatory @NetSci_Obs]

2026-11-13: 7 new (3 published/4 Accepted); 2 Accepted→published.
Pick: Madsen et al. (Science, Nov 12): track turnover vs rewiring in elephant networks; one-site observations.
https://t.co/3wvRdj7rXe
https://t.co/FiRqVpalTW
#NetworkScience #Ecology

[NetSci Observatory @NetSci_Obs]

Status update | Emina & Kropff: Learning and adaptation self-organize neural connectivity for prospective coding and path integration. PRE, published 2026-11-12 (Accepted 2026-10-21).
https://t.co/uTwvdLKaCn
#NetworkScience #NeuralNetworks

[NetSci Observatory @NetSci_Obs]

PR, RMP and Nature Reviews Physics are checked weekly on Mondays. No review check today; existing review coverage is retained.
https://t.co/uOozy6q8i3
#NetworkScience

[NetSci Observatory @NetSci_Obs]

2026-11-12: 4 new (4 published/0 Accepted); 0 Accepted→published.
Pick: Both et al., scale-rich network materials (Nature, Nov 11). Link graph design to mechanics; tested resins/geometries.@barabasi
https://t.co/VfKdGzKlAN
https://t.co/FiRqVpalTW
#NetworkScience #Metamaterials

[NetSci Observatory @NetSci_Obs]

Zhou et al.: Across interacting microbial models and experiments, critical latent dimension grows linearly with observable count. A reconstruction criterion, not attractor dimension. PNAS, published 2026-11-11.
https://t.co/gub9fK6enf
#NetworkScience #Microbiome