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most citedSpectral redemption: clustering sparse networks

658 citations · 2.2k across the 187 of their papers we have counts for

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math.PR2026

Consensus times for monotone aggregation dynamics

Elchanan Mossel

We study an asynchronous consensus dynamics on agents: at each step a uniformly chosen agent replaces its state by , where is a fixed monotone aggregation…

math.PR2026

Sharp Threshold for the Convergence of Nonstationary Averaging

Saba Lepsveridze, Elchanan Mossel

We study non-stationary averaging processes, where each term of a sequence is a weighted average of previous terms, namely . Our results extend c…

math.PR2025

Reconstructing Riemannian Metrics From Random Geometric Graphs

Han Huang, Pakawut Jiradilok, Elchanan Mossel

Random geometric graphs are random graph models defined on metric measure spaces. A random geometric graph is generated by first sampling points from a metric space and then connec…

math.PR2025

On Algorithmic Robustness of Corrupted Markov Chains

Jason Gaitonde, Elchanan Mossel

We study the algorithmic robustness of general finite Markov chains in terms of their stationary distributions to general, adversarial corruptions of the transition matrix. We show…

math.PR2025

Asymptotics for the harmonic descent chain and applications to critical beta-splitting trees

Anna Brandenberger, Byron Chin, Elchanan Mossel

Motivated by the connection to a probabilistic model of phylogenetic trees introduced by Aldous, we study the recursive sequence governed by the rule $x_n = \sum_{i=1}^{n-1} \frac{…

math.PR2025

Stochastic block models with many communities and the Kesten--Stigum bound

Byron Chin, Elchanan Mossel, Youngtak Sohn +1

We study the inference of communities in stochastic block models with a growing number of communities. For block models with vertices and a fixed number of communities , it…

math.PR2025

Noise Sensitivity and Learning Lower Bounds for Hierarchical Functions

Rupert Li, Elchanan Mossel

Recent works explore deep learning's success by examining functions or data with hierarchical structure. To study the learning complexity of functions with hierarchical structure,…

math.PR2025

Optimal Low degree hardness for Broadcasting on Trees

Han Huang, Elchanan Mossel

Broadcasting on trees is a fundamental model from statistical physics that plays an important role in information theory, noisy computation and phylogenetic reconstruction within c…

math.PR2025

Random Subwords and Billiard Walks in Affine Weyl Groups

Colin Defant, Pakawut Jiradilok, Elchanan Mossel

Let be an irreducible affine Weyl group, and let be a finite word over the alphabet of simple reflections of . Fix a probability . For each integer $…

math.PR2024

Finding the root in random nearest neighbor trees

Anna Brandenberger, Cassandra Marcussen, Elchanan Mossel +1

We study the inference of network archaeology in growing random geometric graphs. We consider the root finding problem for a random nearest neighbor tree in dimension $d \in \mathb…

math.PR2024★ 1 cited

Comparison Theorems for the Mixing Times of Systematic and Random Scan Dynamics

Jason Gaitonde, Elchanan Mossel

A popular method for sampling from high-dimensional distributions is the \emph{Gibbs sampler}, which iteratively resamples sites from the conditional distribution of the desired me…

math.PR2024

Multiplayer Games of War

Axel Adjei, Neil Krishnan, Elchanan Mossel

A recent paper by Bhatia, Chin, Mani, and Mossel (2026) defined stochastic processes modeling the game of War for {\em two players} with cards. That paper showed that these mod…

math.PR2024

Weak recovery, hypothesis testing, and mutual information in stochastic block models and planted factor graphs

Elchanan Mossel, Allan Sly, Youngtak Sohn

The stochastic block model is a canonical model of communities in random graphs. It was introduced in the social sciences and statistics as a model of communities, and in theoretic…

math.PR2024

Monotonicity, Topology, and Convexity of Recurrence in Random Walks

Rupert Li, Elchanan Mossel, Benjamin Weiss

We consider non-homogeneous random walks on the two-dimensional positive quadrant and the one-dimensional slab . In the 1960's the f…

math.PR2024★ 1 cited

Low Degree Hardness for Broadcasting on Trees

Han Huang, Elchanan Mossel

We study the low-degree hardness of broadcasting on trees. Broadcasting on trees has been extensively studied in statistical physics, in computational biology in relation to phylog…

math.PR2023

Stable matchings with correlated Preferences

Christopher Hoffman, Avi Levy, Elchanan Mossel

The stable matching problem has been the subject of intense theoretical and empirical study since the seminal 1962 paper by Gale and Shapley. The number of stable matchings for dif…

math.PR2023

Influences in Mixing Measures

Frederic Koehler, Noam Lifshitz, Dor Minzer +1

The theory of influences in product measures has profound applications in theoretical computer science, combinatorics, and discrete probability. This deep theory is intimately conn…

math.PR2023

The Power of an Adversary in Glauber Dynamics

Byron Chin, Ankur Moitra, Elchanan Mossel +1

Glauber dynamics are a natural model of dynamics of dependent systems. While originally introduced in statistical physics, they have found important applications in the study of so…

math.PR2022★ 1 cited

Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees

Elchanan Mossel, Allan Sly, Youngtak Sohn

In this paper we continue to rigorously establish the predictions in ground breaking work in statistical physics by Decelle, Krzakala, Moore, Zdeborová (2011) regarding the block m…

math.PR2021

Reconstruction on Trees and Low-Degree Polynomials

Frederic Koehler, Elchanan Mossel

The study of Markov processes and broadcasting on trees has deep connections to a variety of areas including statistical physics, graphical models, phylogenetic reconstruction, Mar…

math.PR2021

Spectral Recovery of Binary Censored Block Models

Souvik Dhara, Julia Gaudio, Elchanan Mossel +1

Community detection is the problem of identifying community structure in graphs. Often the graph is modeled as a sample from the Stochastic Block Model, in which each vertex belong…

math.PR2020★ 2 cited

Probabilistic Aspects of Voting, Intransitivity and Manipulation

Elchanan Mossel

These lecture notes are based on lectures given in 2019 Saint-Flour Probability School.

math.PR2020

Shotgun Assembly of Erdos-Renyi Random Graphs

Julia Gaudio, Elchanan Mossel

Graph shotgun assembly refers to the problem of reconstructing a graph from a collection of local neighborhoods. In this paper, we consider shotgun assembly of \ER random graphs $G…

math.PR2020★ 5 cited

Broadcasting on Two-Dimensional Regular Grids

Anuran Makur, Elchanan Mossel, Yury Polyanskiy

We study a specialization of the problem of broadcasting on directed acyclic graphs, namely, broadcasting on 2D regular grids. Consider a 2D regular grid with source vertex at…