Here you can find my papers including preprints, published papers and unpublished papers.
Preprints
Arranged in reverse chronological order
- Title: The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment
co-authors: Belfin Robinson, Eran Dayan
Remarks: Submitted to Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, April 2023. Preprint here. - Title: Attribute network models, stochastic approximation, and network sampling and ranking algorithms
co-authors: Nelson Antunes, Sayan Banerjee, Vladas Pipiras
Preprint: Arxiv version
Remarks: Submitted to Annals of Applied Probability, May, 2023. - Title: Scaling limits and universality: Critical percolation on weighted graphs converging to an L3graphon
co-authors: Jnaneshwar Baslingker, Shankar Bhamidi, Nicolas Broutin, Sanchayan Sen, Xuan Wang
Preprint: Arxiv version
Remarks: Preprint, March 2023 - Title: Co-evolving dynamic networks
co-authors: Sayan Banerjee, Xiangying Huang
Preprint: Arxiv version
Remarks: Submitted to PTRF, 2021 - Title: Multiscale genesis of a tiny giant for percolation on scale-free random graphs
co-authors: Souvik Dhara, Remco van der Hofstad
Preprint: Arxiv version
Remarks: Under revision for Annals of Probability, Jan 2023. - Title: Geometry of the minimal spanning tree in the heavy-tailed regime: new universality classes
co-authors: Sanchayan Sen
Preprint: Arxiv version
Remarks: Under revision for PTRF, 2023 - Title: Intertemporal Community Detection in Bikeshare Networks
co-authors: Mark He, Joseph Glasser, Nikhil Kaza
Published: Arxiv version
Remarks: Arxiv version - Title: Large subgraphs in pseudo-random graphs
co-authors: Anirban Basak, Suman Chakraborty, Andrew Nobel
Published: Arxiv version
Remarks: Arxiv version: December 2016.
- Title: Scaling limits of random graph models at criticality: Universality and the basin of attraction of the Erdos-Renyi random graph.
co-authors: Nicolas Broutin, Sanchayan Sen and Xuan Wang.
Published: Arxiv preprint
Remarks: Arxiv version: November 2014. Updated version “Scaling limits and universality: Critical percolation on weighted graphs converging to an L3graphon”
Accepted Papers
Arranged in reverse chronological order.
- Title: Learning Attribute and Homophily Measures Through Random Walks
co-authors: Nelson Antunes, Sayan Banerjee, Vladas Pipiras
Remarks: Applied Networks Science, May 2023. Preliminary conference version can be found here. - Title: Statistical Significance of Clustering with Multidimensional Scaling
co-authors: Hui Shen, Yufeng Liu.
Remarks: Accepted in Journal of Computational and Graphical Statistics, May 2023. - Title: Improved Baselines for Causal Structure Learning on Interventional Data
co-authors: Robin Richter, Sach Mukherjee
Remarks: Accepted in Statistics and Computing, May 2023. - Title: A conversation with David J. Aldous
Remarks: Statistical Science, 2022. - Title: Global lower mass-bound for critical configuration models in the heavy-tailed regime
co-authors: Souvik Dhara, Remco van der Hofstad, Sanchayan Sen
Preprint: Arxiv version
Remarks: Accepted in Electronic Journal of Probability, 2022. - Title: Fluctuation bounds for continuous time branching processes and nonparametric change point detection in growing networks
co-authors: Sayan Banerjee, Iain Carmichael
Published: Accepted in Annals of Applied Probability, 2022 Arxiv version
Remarks: Arxiv version: September 2018. - Title: Root finding algorithms and persistence of Jordan centrality in growing random trees
co-authors: Sayan Banerjee
Preprint: Arxiv version
Remarks: Accepted in Annals of Applied Probability, 2021. - Title: Near Equilibrium Fluctuations for Supermarket Models with Growing Choices
co-authors: Amarjit Budhiraja, Miheer Dewaskar
Preprint: Arxiv version
Remarks: Accepted in Annals of Applied Probability, 2021. - Title: Persistence of hubs in growing random networks
co-authors: Sayan Banerjee
Preprint: Arxiv version
Remarks: Accepted in Probability Theory and Related Fields, 2021. - Title: Rare event asymptotics for exploration processes for random graphs
co-authors: Amarjit Budhiraja, Paul Dupuis, Ruoyu Wu
Published:Accepted in Annals of Applied Probability, 2022 Arxiv version - Title: Community modulated recursive trees and population dependent branching processes
co-authors: Ruituo Fan, Nicolas Fraiman, Andrew Nobel
Preprint: Accepted in Random Structures and Algorithms, 2021 Arxiv version - Title: Sampling-based Estimation of In-degree Distribution with Applications to Directed Complex Networks
co-authors: Nelson Antunes, Tianjian Guo, Vladas Pipiras, Bang Wang
Published: Accepted in Journal of Computational and Graphical Statistics, 2021 Arxiv version
Remarks: Arxiv version: October 2018. - Title: Survival and extinction of epidemics on random graphs with general degrees
co-authors: Danny Nam, Oanh Nguyen, Allan Sly
Preprint: Arxiv version
Remarks: Accepted in Annals of Probability, 2020. - Title: A probabilistic approach to the leader problem in random graphs
co-authors: Louigi Addario-Berry, Sanchayan Sen
Preprint: Arxiv version
Published: Accepted in Random Structures and Algorithms, 2020. - Title: Demarcating Geographic Regions using Community Detection in Commuting Networks
co-authors: Mark He, Joseph Glasser, Nathaniel Pritchard, Nikhil Kaza
Published: Accepted in PLOS One, 2020. Arxiv version - Title: Universality for critical heavy-tailed network models: Metric structure of maximal components
co-authors: Souvik Dhara, Remco van der Hofstad, Sanchayan Sen
Preprint: Arxiv version
Published: Accepted in Electronic Journal of Probability, 2020. - Title: Geometry of the Vacant set Left by Random Walk on Random Graphs, Wright’s Constants, and Critical Random Graphs With Prescribed Degrees
co-authors: Sanchayan Sen
Published: To appear in Random Structures and Algorithms Arxiv version - Title: Weakly interacting particle systems on inhomogeneous random graphs
co-authors: Amarjit Budhiraja, Ruoyu Wu
Published: To appear in Stochastic Processes and Applications (2018) Arxiv version - Title: Weighted Exponential Random Graph Models: Scope and Large Network Limits
co-authors: Suman Chakraborty, Skyler Cranmer, Bruce Desmarais
Published: To appear in Journal of Statistical Physics (2018) Arxiv preprint - Title: The Continuous Configuration Model: A Null for Community Detection on Weighted Networks
co-authors: John Palowitch, Andrew B. Nobel.
Published: CCME R package; Journal of Machine Learning research, 18(188):1−48, 2018, Arxiv version
Comments: Code and supplemental info available at this http URL - Title: Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway Structure
co-authors: Paul E. Stillman, James D. Wilson, Matthew J. Denny, Bruce A. Desmarais, Shankar Bhamidi, Skyler J. Cranmer & Zhong-Lin Lu
Published: Scientific Reports 7, Article number: 11694 (2017).
Remarks: Journal version. - Title: Community Extraction in Multilayer Networks with Heterogeneous Community Structure
co-authors: James D. Wilson, John Palowitch, Andrew B. Nobel
Published: Accepted in Journal of Machine Learning Research (2017). Multilayer extraction R package.
Remarks: Arxiv version: - Title: Change point detection in Network models: Preferential attachment and long range dependence
co-authors: Jimmy Jin, Andrew Nobel.
Published: Accepted in Annals of Applied Probability (2017).
Remarks: Arxiv version: 2015. - Title: Diameter of the Stochastic mean field model of distance
co-authors: Remco van der Hofstad
Published: Accepted in Combinatorics, Probability and Computing (2017). Arxiv version - Title: Critical Random Graphs and the Differential Equations Technique.
co-authors: Amarjit Budhiraja and Sanchayan Sen
Published: Accepted in Indian Journal of Pure and Applied Mathematics (2017) - Title: Energy Landscape for large average submatrix detection problems in gaussian random matrices.
co-authors: Partha Dey and Andrew Nobel
Published: Accepted in Probability Theory and Related Fields (2017).pdf version - Title: The multiplicative coalescent, inhomogeneous continuum random trees, and new universality classes for critical random graphs
co-authors: Sanchayan Sen and Remo van der Hofstad.
Published: Accepted in Probability Theory and Related Fields (2017) Arxiv version - Title: Stochastic Weighted Graphs: Flexible Model Specification and Simulation
co-authors: James D. Wilson, Matthew J. Denny, Shankar Bhamidi, Skyler Cranmer, Bruce Desmarais
Published: GERGM R package; Accepted in Social Networks, 2016 - Title: Continuum limit of inhomogenous random graphs
co-authors: Sanchayan Sen and Xuan Wang.
Published: Accepted in Probability Theory and Related Fields, 2016 - Title: Universality for first passage percolation on sparse random graphs
co-authors: Remco van der Hofstad and Gerard Hooghiemstra
Published: Accepted in Annals of Probability, 2016 .pdf version - Title: Childhood peer network characteristics: genetic influences and links with early mental health trajectories
co-authors: Eszter Szekely,Irene Pappa, James D. Wilson, Vincent W. Jaddoe, Frank C. Verhulst, Henning Tiemeier, Philip Shaw
Published: Appeared in Journal of Child Psychology and Psychiatry, 2015 - Title: Exceptional rotations of random graphs: a VC theory
co-authors:Louigi Addario-Berry, Sebastien Bubeck, Luc Devroye, Gabor Lugosi, Roberto Imbuzeiro Oliveira
Published: Appeared in Journal of Machine Learning Research, 2015 - Title: The importance sampling technique for understanding rare events in Erdos-Renyi random graphs
co-authors: Jan Hannig, Chia Ying Lee, James Nolen
Published: Accepted in Electronic Journal of Probability, 2015 .pdf version - Title: Twitter event networks and the superstar model
co-authors: J.Michael Steele and Tauhid Zaman
Published: Accepted in Annals of Applied Probability .pdf version - Title: A Testing Based Extraction Algorithm for Identifying Significant Communities in Networks
co-authors: James D. Wilson, Simi Wang, Peter J. Mucha, Andrew B. Nobel
Published: Accepted in Annals of Applied Statistics. ESSC R package; Arxiv version - Title: Degree distribution of shortest path trees and bias of network sampling algorithms
co-authors: Jesse Goodman and Remco van der Hofstad and Julia Komjathy
Published: Accepted in Annals of Applied Probability, 2014, .pdf version - Title: The front of the epidemic curve and first passage percolation
co-authors: Remco van der Hofstad and Julia Komjáthy
Published: Accepted in the Journal of Applied Probability, .pdf version - Title: Bounded-size rules: The barely subcritical regime
co-authors: Amarjit Budhiraja and Xuan Wang
Published: Accepted in Combinatorics Probability and Computing .pdf version - Title: The augmented multiplicative coalescent, bounded size rules and critical dynamics of random graphs
co-authors: Amarjit Budhiraja and Xuan Wang
Published: Accepted in Probability Theory and Related Fields. .pdf version - Title: Measuring the Statistical Significance of Local Connections in Directed Networks
co-authors: James Wilson and Andrew Nobel
Published: Accepted in NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications .pdf version - Title: Functional Data Analysis of Tree Data Objects
co-authors: Dan Shen, Haipeng Shen, Yolanda Munoz Maldonado, Yongdai Kim, and J. S. Marron
Published: Journal of Computational and Graphical Statistics. .pdf version - Title: Aggregation models with limited choice and the multiplicative coalescent
co-authors: Amarjit Budhiraja and Xuan Wang
Published: Accepted in Random Structures and Algorithms .pdf version
Verbal Description:Remarks: This article considers the Bohman-Frieze process which is a dynamic way of constructing a network via the inclusion of edges, wherein one incorporates the effect of choice in the selection the edge. The exact nature of the emergence of the giant component has been open since the formulation of the model in 2001. Using a technique very different from the usual breadth-first search technique we analyze exactly what happens at criticality. - Title: Weak disorder in the stochastic mean-field model of distance II
co-authors: Remco van der Hofstad and Gerard Hooghiemstra
Published: Accepted in Bernoulli .pdf version
Remarks: This paper deals with the case where each edge in the complete graph has E^s edge weight, where s is negative. It turns out that the behavior of the optimal paths between vertices is completely different from the s positive case. This was also the first time that we have used Stein’s method for Poisson approximation to get delicate quantitative results for extrema in first passage percolation. - Title: First Passage Percolation on Erdos-Renyi random graphs
co-authors: Remco van der Hofstad and Gerard Hooghiemstra
Published: Accepted in Combinatorics, Probability and Computing .pdf version
Remarks: This extends our treatment of first passage percolation on the configuration model to the case of the Erdos-Renyi random graphs and completes the treatment of this model in all regimes of the edge connection probability p. - Title: Variants of Brownian Motion
co-authors: Priscilla Greenwood
Published: Accepted in the Wiley OR Encyclopedia
Remarks: This is an introductory encyclopedia article on various variants of Brownian Motion. - Title: Weak disorder in the stochastic mean field model of distance
co-authors: Remco van der Hofstad
Published: Accepted in the Annals of Applied Probability .pdf version
Verbal Description:.pdf version - Title: Novel scaling limits for critical inhomogeneous random graphs
co-authors: Remco van der Hofstad and Johan van Leeuwaarden
Published: Accepted in Annals of Probability .pdf version
Verbal Description:.pdf version - Title: Scaling limits for critical inhomogeneous random graphs with finite third moments
co-authors: Remco van der Hofstad and Johan van Leeuwaarden
Published: Accepted in Electronic Journal of Probability .pdf version
Verbal Description:.pdf version - Title: Extreme value theory, Poisson Dirichlet distributions and first passage percolation on random networks
co-authors: Remco van der Hofstad and Gerard Hooghiemstra
Published: Accepted in Advances in Applied probability .pdf version
Verbal Description:.pdf version.
Remarks: This completes the study of first passage percolation on the configuration model. - Title: First passage percolation on random graphs with finite mean degrees
co-authors: Remco van der Hofstad and Gerard Hooghiemstra
Published: Accepted in Annals of Applied probability .pdf version
Verbal Description:.pdf version.
Remarks: This is part of a general scheme to understand how disorder changes the inherent graph geometry of random graph models. - Title: Mixing time of exponential random graphs
co-authors: Guy Bresler and Allan Sly
Published: Accepted in Annals of Applied probability .pdf version
Verbal Description:.pdf version.
Remarks: This is the full version of the conference paper (extended abstract) accepted in FOCS 2008. - Title: Spectra of Random Trees
co-authors: Steve Evans and Arnab Sen
Published: Accepted in Journal of Theoretical Probability .pdf version
Verbal Description:.pdf version. - Title: First passage percolation on locally tree like networks I: Dense random graphs
Published: Accepted in the Special Issue on Statistical Mechanics of Random Structures, Journal of Mathematical Physics (2008) .pdf version
Verbal Description:.pdf version. - Title: Network Delay Inference from Additive Metrics
co-authors: Ram Rajagopal and Sebastien Roch
Published: Accepted in Random Structures and Algorithms .pdf version
Verbal Description:.pdf version. - Title: Edge Flows on the complete random edge lengths network
co-author: David Aldous
Published: Accepted in Random Structures and Algorithms .pdf version.
Verbal Description:.pdf version. - Title: Brownian motion on disconnected sets, basic hypergeometric functions, and some continued fractions of Ramanujan
co-authors: Steve Evans, Ron Peled, and Peter Ralph.
Published IMS Collections Probability and Statistics: Essays in Honor of David A. Freedman Vol. 2 (2008) 42–75 .pdf version
Verbal Description: .pdf version.
Unpublished
- Title: Universal techniques to analyze preferential attachment tree and networks: Global and Local analysis
Published: Major updates in progress .pdf version
Verbal Description:.pdf version.
Remarks: This is a long paper trying to develop a unified set of tools for tackling many different models.