World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
16707
World Ranking
6306
National Ranking
2817

Overview

Yong-Yeol Ahn is affiliated with Indiana University in the United States and specializes in research within the social sciences. Their work intersects multiple subfields, prominently including artificial intelligence, statistical and nonlinear physics, sociology and political science, epidemiology, and modeling and simulation.

The scientist's research topics cover a broad array of themes related to social dynamics and information flow. Key topics include:

  • Complex Network Analysis Techniques
  • Misinformation and Its Impacts
  • Opinion Dynamics and Social Influence
  • COVID-19 epidemiological studies
  • Advanced Graph Neural Networks
  • Data-Driven Disease Surveillance
  • Social Media and Politics

Their recent publications reflect an interdisciplinary approach, with selected papers such as:

  • "Understanding the Demographics of Twitter Users" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases" (2020), published in Proceedings of the National Academy of Sciences
  • "Systematic Evaluation of State Policy Interventions Targeting the US Opioid Epidemic, 2007-2018" (2021), published in JAMA Network Open
  • "Misinformation, believability, and vaccine acceptance over 40 countries: Takeaways from the initial phase of the COVID-19 infodemic" (2022), published in PLoS ONE
  • "Neural embeddings of scholarly periodicals reveal complex disciplinary organizations" (2021), published in Science Advances

Yong-Yeol Ahn has collaborated extensively with a number of frequent coauthors, including James P. Bagrow, Kai-Cheng Yang, Brea L. Perry, Sadamori Kojaku, and Jisun An.

The venues in which the scientist frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • JAMA Network Open
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the National Academy of Sciences

In addition to journal articles, Yong-Yeol Ahn has contributed to book publications. This includes a work titled "Working with Network Data," published by Cambridge University Press in 2024.

Best Publications

  • Link communities reveal multiscale complexity in networks

    Yong-Yeol Ahn;James P. Bagrow;James P. Bagrow;Sune Lehmann;Sune Lehmann

  • I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

    Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

  • Analysis of topological characteristics of huge online social networking services

    Yong-Yeol Ahn;Seungyeop Han;Haewoon Kwak;Sue Moon

  • Understanding the Demographics of Twitter Users

    Alan Mislove;Sune Lehmann;Yong-Yeol Ahn;Jukka-Pekka Onnela

  • Evidence for Network Evolution in an Arabidopsis Interactome Map

    Matija Dreze;Anne-Ruxandra Carvunis;Benoit Charloteaux

  • Virality prediction and community structure in social networks

    Lilian Weng;Filippo Menczer;Yong-Yeol Ahn

  • Analyzing the video popularity characteristics of large-scale user generated content systems

    Meeyoung Cha;Haewoon Kwak;Pablo Rodriguez;Yong-Yeol Ahn

  • Cooperative and Competitive Spreading Dynamics on the Human Connectome

    Bratislav Mišić;Richard F. Betzel;Azadeh Nematzadeh;Joaquin Goñi

  • Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters

    Jaehyuk Park;Ian B. Wood;Ian B. Wood;Elise Jing;Azadeh Nematzadeh

  • Optimal Network Modularity for Information Diffusion

    Azadeh Nematzadeh;Emilio Ferrara;Alessandro Flammini;Yong-Yeol Ahn

  • Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases.

    Ana I. Bento;Thuy Nguyen;Coady Wing;Felipe Lozano-Rojas

  • A network framework of cultural history

    Maximilian Schich;Maximilian Schich;Maximilian Schich;Chaoming Song;Yong Yeol Ahn;Alexander Mirsky

  • Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis.

    Cassidy R. Sugimoto;Yong Yeol Ahn;Elise Smith;Benoit Macaluso

  • Comparison of online social relations in volume vs interaction: a case study of cyworld

    Hyunwoo Chun;Haewoon Kwak;Young-Ho Eom;Yong-Yeol Ahn

  • Predicting Successful Memes Using Network and Community Structure

    Lilian Weng;Filippo Menczer;Yong-Yeol Ahn

  • The effectiveness of backward contact tracing in networks

    Sadamori Kojaku;Laurent Hébert-Dufresne;Enys Mones;Sune Lehmann;Sune Lehmann

  • A systematic identification and analysis of scientists on Twitter.

    Qing Ke;Yong-Yeol Ahn;Cassidy R. Sugimoto

  • Systematic Evaluation of State Policy Interventions Targeting the US Opioid Epidemic, 2007-2018.

    Byungkyu Lee;Wanying Zhao;Kai-Cheng Yang;Yong-Yeol Ahn

  • Link communities reveal multi-scale complexity in networks

    Yong-Yeol Ahn;James P. Bagrow;Sune Lehmann

  • Community-Enhanced De-anonymization of Online Social Networks

    Shirin Nilizadeh;Apu Kapadia;Yong-Yeol Ahn

  • Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks

    Yong-Yeol Ahn

Frequent Co-Authors

Sune Lehmann
Sune Lehmann Technical University of Denmark
Haewoon Kwak
Haewoon Kwak Indiana University
Hawoong Jeong
Hawoong Jeong Korea Advanced Institute of Science and Technology
Alessandro Flammini
Alessandro Flammini Indiana University
Albert-László Barabási
Albert-László Barabási Northeastern University
Filippo Menczer
Filippo Menczer Indiana University
Sue Moon
Sue Moon Korea Advanced Institute of Science and Technology
Meeyoung Cha
Meeyoung Cha Korea Advanced Institute of Science and Technology
Emilio Ferrara
Emilio Ferrara University of Southern California
Cassidy R. Sugimoto
Cassidy R. Sugimoto Indiana University

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