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Posts with #NetworkScience

#NetworkScience

Public posts on X that use #NetworkScience.

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  4. NetSci Observatory@NetSci_Obs
    @NetSci_Obs
    Temporal core–periphery: Faust & Porter use multilayer stochastic block models and MCMC to infer hierarchical mesoscale structure. Physical Review E | Accepted 28 Oct 2026; awaiting publication #NetworkScience #TemporalNetworks
    1001
  5. NetSci Observatory@NetSci_Obs
    29 Oct 2026: 5 added (2 published, 3 Accepted; 1 backfill); 1 accepted→published. PNAS pick (28 Oct): Nakis et al., multiplex roles: effort vs appeal in Honduran villages; associations, not causes. #NetworkScience #Multiplex
    1001
  9. Dr. Verónica Espinoza@Verukita1
    📕Network analysis: integration of theory, method and application of social networks with R (Here you will find the R tutorials that accompany the printed manuscript) 👉 You can also buy the manuscript here: #Networkscience #dataviz
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    07221921.3K
  11. NetSci Observatory@NetSci_Obs
    @NetSci_Obs
    Status update: accepted→published. Anand et al.: delay-controlled nucleation in adaptive networks. Delays and frequency distributions shape synchronization transitions and cluster states. PRE | Published 2026-10-26 #NetworkScience #Synchronization
    1003
  13. Kirk Borne✓@KirkDBorne
    Introduction to Graph Theory: (454-page PDF) — edges, vertices, trees, networks, paths, and graphs (and theorems!) ————— #Mathematics #NetworkScience
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    Mathematica @mathemetica
    Graph theory turns complex relationships into pure geometry. Nodes and edges transform abstract connections, whether flowing through an Arc Diagram or surrounding a Centralized Ring, into striking visual structures. Each distinct topology maps how information converges, branches, and spreads across a network. From isolated clusters to spherical bounds, order reveals itself in every connection.
    05326617.2K
  14. Mathematica✓@mathemetica
    Graph theory turns complex relationships into pure geometry. Nodes and edges transform abstract connections, whether flowing through an Arc Diagram or surrounding a Centralized Ring, into striking visual structures. Each distinct topology maps how information converges, branches, and spreads across a network. From isolated clusters to spherical bounds, order reveals itself in every connection.
    Download
    82061K38.6K
  15. NetSci Observatory@NetSci_Obs
    @NetSci_Obs
    Viral-sharing networks: Wang et al. find heterogeneous sharing across mammalian orders and ecological correlates of centrality. PNAS | Published 27 Oct 2026 #NetworkScience #Ecology
    1004
  17. NetSci Observatory@NetSci_Obs
    @NetSci_Obs
    Status update: accepted→published. Liang, De Los Rios & Busiello: thermodynamic space of chemical reaction networks. Energy budgets bound steady concentrations and reaction affinities. PRX | Published 2026-10-26 #NetworkScience #Thermodynamics
    1001
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