Yong‐Yeol Ahn
Physics and Astronomy · Indiana University
Publications
237
Citations
12,757
Est. group size
—
Recurring co-author estimate
Active years
24
Publishing since 2003
Yong-Yeol Ahn studies complex networks and computational social science, using large-scale data and methods like network analysis and large language models to understand how ideas, diseases, careers, and scientific discoveries spread and evolve. Recent work spans topics such as AI's effect on jobs, the spread of beliefs and misinformation, disease associations in genomic data, and patterns in science and culture. The research combines physics-based modeling with social and biological questions across many domains.
Publication output has been steady and generally high over the last decade, with notable peaks around 2021 and 2024.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- AI exposure predicts unemployment risk: A new approach to technology-driven job loss
PNAS Nexus · 2025
- The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank
Human Genomics · 2025
- One pathogen does not an epidemic make: a review of interacting contagions, diseases, beliefs, and stories
npj Complexity · 2025
- The Geometry of Knowledge and Computational Discovery
2025
- Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic
PNAS Nexus · 2025
- Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents
arXiv (Cornell University) · 2025
- Reconceiving the National Research Enterprise*
SSRN Electronic Journal · 2025
- Code for: Uncovering simultaneous breakthroughs with a robust measure of disruptiveness
arXiv (Cornell University) · 2025
- Sameness entices, but novelty enchants in fanfiction online
Humanities and Social Sciences Communications · 2025
- A semantic embedding space based on large language models for modelling human beliefs
Nature Human Behaviour · 2025
- Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition-Informed Approach to Quantifying Identity Fusion from Text
arXiv (Cornell University) · 2025
- Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition‐Informed Approach to Quantifying Identity Fusion from Text
2025
- Social signals predict contemporary art prices better than visual features, particularly in emerging markets
Scientific Reports · 2024
- Labor Space: A Unifying Representation of the Labor Market via Large Language Models
2024
- Data ethics
Cambridge University Press eBooks · 2024
- arXiv (Cornell University)×43
- Cambridge University Press eBooks×32
- Zenodo (CERN European Organization for Nuclear Research)×8
- Figshare×7
- Proceedings of the International AAAI Conference on Web and Social Media×6
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 11, 2026.
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