WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Yong-Yeol Ahn
PeerJ Editor & Author
670 Points

Contributions by role

Author 270
Editor 400

Contributions by subject area

Artificial Intelligence
Data Science
Network Science and Online Social Networks
Social Computing
Computational Linguistics
Natural Language and Speech
World Wide Web and Web Science
Data Mining and Machine Learning
Text Mining
Sentiment Analysis
Neural Networks
Algorithms and Analysis of Algorithms

Yong-Yeol Ahn

PeerJ Editor & Author

Summary

Yong-Yeol (YY) Ahn is a Professor at Indiana University School of Informatics, Computing, and Engineering. He was a Visiting Professor at MIT during 2020-2021. Before joining Indiana University, he worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after earning his PhD in Statistical Physics from KAIST in 2008.

His research focuses on developing network science and machine learning methods, and applying them to complex social and biological systems. He is a recipient of several awards including Microsoft Research Faculty Fellowship and LinkedIn Economic Graph Challenge.

Data Mining & Machine Learning Network Science & Online Social Networks

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Indiana University
Indiana University at Bloomington
MIT

Work details

Professor

Indiana University
School of Informatics, Computing, and Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Edited 4
July 22, 2021
FrameAxis: characterizing microframe bias and intensity with word embedding
Haewoon Kwak, Jisun An, Elise Jing, Yong-Yeol Ahn
https://doi.org/10.7717/peerj-cs.644
March 30, 2021
Persona2vec: a flexible multi-role representations learning framework for graphs
Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung, Yong-Yeol Ahn
https://doi.org/10.7717/peerj-cs.439

Academic Editor on

June 19, 2025
A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change
Juan Marten, Fernando Delbianco, Fernando Tohme, Ana G. Maguitman
https://doi.org/10.7717/peerj-cs.2964
June 16, 2025
The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference
Mohammed Alsuhaibani
https://doi.org/10.7717/peerj-cs.2957
November 18, 2024
k-Clique counting on large scale-graphs: a survey
Büşra Çalmaz, Belgin Ergenç Bostanoğlu
https://doi.org/10.7717/peerj-cs.2501
June 17, 2024
Enhancing cross-evidence reasoning graph for document-level relation extraction
Qiankun Pi, Jicang Lu, Taojie Zhu, Yepeng Sun, Shunhang Li, Jiaxing Guo
https://doi.org/10.7717/peerj-cs.2123