Subhadeep Paul
Physics and Astronomy · The Ohio State University
Publications
39
Citations
556
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Subhadeep Paul develops statistical and machine-learning methods for analyzing networks that change over time, including techniques for detecting communities or clusters within networks, modeling how events spread between connected people (such as peer influence or recidivism), and testing structural properties like the 'small-world' phenomenon. Much of this work combines rigorous statistical theory with applications in areas like neuroimaging, social influence, and criminal justice, and increasingly incorporates modern tools like large language model text embeddings.
Publication output has been steady overall with some year-to-year fluctuation, dipping briefly in 2023 but rebounding to 4-5 papers per year in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The co-varying ties between networks and item responses via latent variables
Psychometrika · 2026
- Testing for the network small-world property
Electronic Journal of Statistics · 2025
- Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities
arXiv (Cornell University) · 2025
- Spectral clustering for dependent community Hawkes process models of temporal networks
arXiv (Cornell University) · 2025
- Spatial autoregressive model with measurement error in covariates
arXiv (Cornell University) · 2024
- Embedding Network Autoregression for time series analysis and causal peer effect inference
arXiv (Cornell University) · 2024
- Heterogeneous transfer learning for high-dimensional regression with feature mismatch
arXiv (Cornell University) · 2024
- The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
arXiv (Cornell University) · 2022
- A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
arXiv (Cornell University) · 2022
- Null Models and Community Detection in Multi-Layer Networks
Sankhya A · 2021
- Testing for the Network Small-World Property
arXiv (Cornell University) · 2021
- Spectral and matrix factorization methods for consistent community detection in multi-layer networks
The Annals of Statistics · 2020
- A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging
The Annals of Applied Statistics · 2020
- CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Neural Information Processing Systems · 2020
- Functional Brain Changes During Mindfulness-Based Cognitive Therapy Associated With Tinnitus Severity
Frontiers in Neuroscience · 2019
- arXiv (Cornell University)×20
- Psychometrika×3
- The ISME Journal×2
- The Annals of Applied Statistics×2
- The Annals of Statistics×1
- Filipi N. Silva
Physics and Astronomy · Indiana University
- Stanley Wasserman
Physics and Astronomy · Indiana University
- Yong‐Yeol Ahn
Physics and Astronomy · Indiana University
- Santo Fortunato
Physics and Astronomy · Indiana University
- Skyler Cranmer
Physics and Astronomy · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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