Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(n,{pij})

DOI10.1239/aap/1331216648zbMath1248.60031arXiv0912.4812OpenAlexW1976550584WikidataQ57747923 ScholiaQ57747923MaRDI QIDQ2879911

Kaisheng Lin, Gesine D. Reinert

Publication date: 10 April 2012

Published in: Advances in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0912.4812

zbMATH Keywords

Stein's methodpoint processesasymptotic distributionsInhomogeneous random graphs

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Random graphs (graph-theoretic aspects) (05C80) Stochastic network models in operations research (90B15)

Related Items (1)

Bounded size biased couplings, log concave distributions and concentration of measure for occupancy models

Cites Work

• A multivariate CLT for local dependence with \(n^{-1/2}\log n\) rate and applications to multivariate graph related statistics
• Emergence of Scaling in Random Networks
• Matrix Analysis
• The degree sequence of a random graph. I. The models
• Estimation and Prediction for Stochastic Blockstructures
• Multivariate normal approximations by Stein's method and size bias couplings
• The phase transition in inhomogeneous random graphs
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