Image de couverture de livre

Finding Super-spreaders in Network Cascades

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mossel, Elchanan, Sridhar, Anirudh
Format:	Preprint
Publié:	2024
Sujets:	Statistics Theory Information Theory Social and Information Networks Probability
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Finding Super-spreaders in SIS Epidemics
par: Sridhar, Anirudh, et autres
Publié: (2026)

Weak recovery, hypothesis testing, and mutual information in stochastic block models and planted factor graphs
par: Mossel, Elchanan, et autres
Publié: (2024)

Stochastic block models with many communities and the Kesten--Stigum bound
par: Chin, Byron, et autres
Publié: (2025)

Gaussian Broadcast on Grids
par: Jiradilok, Pakawut, et autres
Publié: (2024)

Detecting Mutual Excitations in Non-Stationary Hawkes Processes
par: Mossel, Elchanan, et autres
Publié: (2026)

Correlated uniform attachment trees
par: Bäumler, Johannes, et autres
Publié: (2026)

Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications
par: Brandenberger, Anna, et autres
Publié: (2025)

Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees
par: Mossel, Elchanan, et autres
Publié: (2022)

Random geometric graphs with smooth kernels: sharp detection threshold and a spectral conjecture
par: Mao, Cheng, et autres
Publié: (2026)

Harnessing Multiple Correlated Networks for Exact Community Recovery
par: Rácz, Miklós Z., et autres
Publié: (2024)

Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
par: Liu, Suqi, et autres
Publié: (2024)

Exact Community Recovery in the Geometric SBM
par: Gaudio, Julia, et autres
Publié: (2023)

Structural Measures of Resilience for Supply Chains
par: Papachristou, Marios, et autres
Publié: (2023)

Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
par: Yang, Xiaodong, et autres
Publié: (2024)

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

Finding the root in random nearest neighbor trees
par: Brandenberger, Anna, et autres
Publié: (2024)

Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
par: Ruggeri, Nicolò, et autres
Publié: (2023)

Influence Maximization in Ising Models
par: Chen, Zongchen, et autres
Publié: (2023)

Multiplexons: Limits of Multiplex Networks
par: Ganguly, Ankan, et autres
Publié: (2025)

Is this correct? Let's check!
par: Ben-Eliezer, Omri, et autres
Publié: (2022)

Bounds on Maximal Leakage over Bayesian Networks
par: Makur, Anuran, et autres
Publié: (2025)

Sharp Thresholds Imply Circuit Lower Bounds: from random 2-SAT to Planted Clique
par: Gamarnik, David, et autres
Publié: (2023)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings
par: Fan, Zhou, et autres
Publié: (2021)

Pólya Thresholds Graphs
par: Yu, Jinghan, et autres
Publié: (2026)

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

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

How fake news can turn against its spreader
par: Brody, Dorje C., et autres
Publié: (2025)

Characterization of Exponential Families of Lumpable Stochastic Matrices
par: Watanabe, Shun, et autres
Publié: (2024)

Multiple sequences Prophet Inequality Under Observation Constraints
par: Tsopelakos, Aristomenis, et autres
Publié: (2024)

A Geometric Perspective on the Injective Norm of Sums of Random Tensors
par: Bandeira, Afonso S., et autres
Publié: (2024)

Approximate independence of permutation mixtures
par: Han, Yanjun, et autres
Publié: (2024)

Linear Operator Approximate Message Passing (OpAMP)
par: Rossetti, Riccardo, et autres
Publié: (2024)

A leave-one-out approach to approximate message passing
par: Bao, Zhigang, et autres
Publié: (2023)

Optimal detection of planted stars via a random energy model
par: Narang, Ijay, et autres
Publié: (2026)

Cluster expansion of the log-likelihood ratio: Optimal detection of planted matchings
par: Wee, Timothy L. H., et autres
Publié: (2025)

Gaussian random projections of convex cones: approximate kinematic formulae and applications
par: Han, Qiyang, et autres
Publié: (2022)

Rate of convergence of the smoothed empirical Wasserstein distance
par: Block, Adam, et autres
Publié: (2022)

Universality of Approximate Message Passing algorithms and tensor networks
par: Wang, Tianhao, et autres
Publié: (2022)

Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders
par: Abdalla, Pedro
Publié: (2021)

Doeblin Coefficients and Related Measures
par: Makur, Anuran, et autres
Publié: (2023)