Cover Image

Correlated uniform attachment trees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bäumler, Johannes, Rácz, Miklós Z., Ross, Nathan, Sridhar, Anirudh
Format:	Preprint
Published:	2026
Subjects:	Probability Social and Information Networks Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing Multiple Correlated Networks for Exact Community Recovery
by: Rácz, Miklós Z., et al.
Published: (2024)

Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)

Finding Super-spreaders in Network Cascades
by: Mossel, Elchanan, et al.
Published: (2024)

Finding Super-spreaders in SIS Epidemics
by: Sridhar, Anirudh, et al.
Published: (2026)

A smooth transition from Wishart to GOE
by: Racz, Miklos Z., et al.
Published: (2016)

Random geometric graphs with smooth kernels: sharp detection threshold and a spectral conjecture
by: Mao, Cheng, et al.
Published: (2026)

Optimal root recovery for uniform attachment trees and $d$-regular growing trees
by: Addario-Berry, Louigi, et al.
Published: (2024)

Exact Community Recovery in the Geometric SBM
by: Gaudio, Julia, et al.
Published: (2023)

Stochastic block models with many communities and the Kesten--Stigum bound
by: Chin, Byron, et al.
Published: (2025)

Structural Measures of Resilience for Supply Chains
by: Papachristou, Marios, et al.
Published: (2023)

Weak recovery, hypothesis testing, and mutual information in stochastic block models and planted factor graphs
by: Mossel, Elchanan, et al.
Published: (2024)

Detecting Mutual Excitations in Non-Stationary Hawkes Processes
by: Mossel, Elchanan, et al.
Published: (2026)

Generating Networks to Target Assortativity via Archimedean Copula Graphons
by: Idowu, Victory
Published: (2025)

Statistics of leaves in growing random trees
by: Hartle, Harrison, et al.
Published: (2025)

Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)

Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
by: Yang, Xiaodong, et al.
Published: (2024)

Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
by: Ruggeri, Nicolò, et al.
Published: (2023)

Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications
by: Brandenberger, Anna, et al.
Published: (2025)

Multiplexons: Limits of Multiplex Networks
by: Ganguly, Ankan, et al.
Published: (2025)

A complete characterization of testable hypotheses
by: Larsson, Martin, et al.
Published: (2026)

Pearson Correlations on Networks: Corrigendum
by: Coscia, Michele, et al.
Published: (2024)

Modularity and partially observed graphs
by: McDiarmid, Colin, et al.
Published: (2021)

Leaves of preferential attachment trees
by: Hartle, Harrison, et al.
Published: (2026)

Computing well-balanced spanning trees of unweighted networks
by: Šubelj, Lovro
Published: (2022)

LLY Ricci Reweighting in Stochastic Block Models: Uniform Curvature Concentration and Finite-Horizon Tracking
by: Kotharkar, Varun
Published: (2026)

Some observations on the ambivalent role of symmetries in Bayesian inference problems
by: Semerjian, Guilhem
Published: (2025)

Matrix denoising: Bayes-optimal estimators via low-degree polynomials
by: Semerjian, Guilhem
Published: (2024)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings
by: Fan, Zhou, et al.
Published: (2021)

Testing Correlation in Graphs by Counting Bounded Degree Motifs
by: Huang, Dong, et al.
Published: (2025)

Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023)

Entropy-based models to randomize real-world hypergraphs
by: Saracco, Fabio, et al.
Published: (2022)

Network Sampling: An Overview and Comparative Analysis
by: Nguyen, Quoc Chuong
Published: (2025)

An egonet-based approach to effective weighted network comparison
by: Piccardi, Carlo
Published: (2024)

Overlapping community detection in weighted networks
by: Qing, Huan
Published: (2022)

Parsimonious Hawkes Processes for temporal networks modelling
by: Zhu, Yuwei, et al.
Published: (2025)

Comparing discriminating abilities of evaluation metrics in link prediction
by: Jiao, Xinshan, et al.
Published: (2024)

Dynamics of Collective Information Processing for Risk Encoding in Social Networks during Crises
by: Fan, Chao, et al.
Published: (2024)

Diffusion Signals Reveal Hidden Connections: A Physics-Inspired Framework for Link Prediction via Personalized PageRank Signals
by: Deng, Huilin Wang Wenjun Zhang Weibing
Published: (2025)

Random walks with resetting on hypergraph
by: Ma, Fei, et al.
Published: (2025)

Higher-order null models as a lens for social systems
by: Preti, Giulia, et al.
Published: (2024)