Yong-Yeol “YY” Ahn

Professor
Center for Complex Networks and Systems Research
Luddy School of Informatics, Computing, and Engineering
Indiana University Bloomington

Email: yyahn@iu.edu
Curriculum Vitae: cv.pdf

@yy@datasci.social • @yyahn.bsky.social • @yyahn@threads.net
⚠️ @yy@twitter.com is NOT my account

Working with Network Data

Jim Bagrow and I wrote a book and you can order it here. Click the cover image for more information!

Bio

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.

Please visit my publication page or Google scholar profile for the more details on my publications.

Selected Works

(underlined authors contributed equally)

#
Network community detection via neural embeddings
Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn, and Santo Fortunato
Nature Communications 15, 9446 (2024)
Link | arXiv | PDF | Code (archived) | Code (GitHub) | Data
#
Persistent Hierarchy in Contemporary International Collaboration
Lili Miao, Vincent Larivière, Byungkyu Lee, Yong-Yeol Ahn, and Cassidy R. Sugimoto
arXiv
#
Neural embedding of beliefs reveals the role of relative dissonance in human decision-making
Byunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn, Haewoon Kwak, and Jisun An
arXiv
#
Uncovering the universal dynamics of citation systems: From science of science to law of law and patterns of patents
Sadamori Kojaku, Robert Mahari, Sandro Claudio Lera, Esteban Moro, Alex Pentland, and Yong-Yeol Ahn
Submitted (2024)
#
Working with Network Data: A Data Science Perspective
James Bagrow and Yong-Yeol Ahn
Cambridge University Press (2024)
Homepage | Cambridge Press | Amazon
#
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Jisung Yoon, Yong-Yeol Ahn, and Sadamori Kojaku
Submitted (2024)
arXiv
#
Emergence of simple and complex contagion dynamics from weighted belief networks
Rachith Aiyappa, Alessandro Flammini, and Yong-Yeol Ahn
Science Advances 10, eadh4439 (2024)
Link | arXiv | PDF | Code
#
Unsupervised embedding of trajectories captures the latent structure of scientific migration
Dakota Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Staša Milojević, Yong-Yeol Ahn
PNAS 120, e2305414120 (2023)
Link | arXiv | PDF | Data | Code
조선일보 | 매일경제
#
Cooperation and interdependence in global science funding
Lili Miao, Vincent Larivière, Feifei Wang, Yong-Yeol Ahn, Cassidy R. Sugimoto
arXiv
#
AI exposure predicts unemployment risk
Morgan Frank, Yong-Yeol Ahn, and Esteban Moro
arXiv
#
The latent structure of global scientific development
Lili Miao, Dakota Murray, Woo-Sung Jung, Vincent Larivière, Cassidy R. Sugimoto, Yong-Yeol Ahn
Nature Human Behaviour 6, 1206 (2022)
Link | arXiv | PDF | Code | Data
#
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku, Jisung Yoon, Isabel Constantino, Yong-Yeol Ahn
NeurIPS (2021)
Link | PDF | arXiv | Code
#
FrameAxis: characterizing microframe bias and intensity with word embedding
Haewoon Kwak, Jisun An, Elise Jing, Yong-Yeol Ahn
PeerJ Computer Science 7, e644 (2021)
Link | PDF | arXiv
#
Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
Hao Peng, Qing Ke, Ceren Budak, Daniel Romero, Yong-Yeol Ahn
Science Advances 7, eabb9004 (2021).
Link | PDF | arXiv | Code | Data
#
Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs
Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung, Yong-Yeol Ahn
PeerJ Computer Science 7, e439 (2021)
Link | PDF | arXiv | Code
#
The effectiveness of backward contact tracing in networks
Sadamori Kojaku, Laurent Hébert-Dufresne, Enys Mones, Sune Lehmann, Yong-Yeol Ahn
Nature Physics (2021)
Link | PDF | arXiv | Code
Nature Physics News & Views | Washington Post | Frankfurter Allgemeine | F.A.Z. Wissen - Der Podcast
#
Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters
Jaehyuk Park, Ian B. Wood, Elise Jing, Azadeh Nematzadeh, Souvik Ghosh, Michael D. Conover, and Yong-Yeol Ahn
Nature Communications 10, 3449 (2019)
Link | PDF | Code
Phys.org | Science Daily | Inside Indiana Business | Crimson Catalyst | Other coverage
#
Element-centric clustering comparison unifies overlaps and hierarchy
Alexander J. Gates, Ian B. Wood, William P. Hetrick, and Yong-Yeol Ahn
Scientific Reports 9, 8574 (2019)
Link | PDF | Code
#
Optimal modularity and memory capacity of neural reservoirs
Nathaniel Rodriguez, Eduardo Izquierdo, and Yong-Yeol Ahn
Network Neuroscience 3, 551 (2019)
Link | PDF | Code
#
Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis
Cassidy R. Sugimoto, Yong-Yeol Ahn, Elise Smith, Benoit Macaluso, and Vincent Larivière
Lancet 393 9-15 (2019)
Link | PDF | Code
Guardian | Reuters | Japan News | Wired | Other coverages
#
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
Jisun An, Haewoon Kwak, and Yong-Yeol Ahn
ACL’18 (2018)
Link | arXiv | PDF | Data and code
#
Cooperative and Competitive Spreading Dynamics on the Human Connectome
B. Mišić, R. F. Betzel, A. Nematzadeh, J. Goñi, A. Griffa, P. Hagmann, A. Flammini, Y.-Y. Ahn, and O. Sporns
Neuron 86, 1518 (2015)
Link | PDF
IUB News
#
Optimal Network Modularity for Information Diffusion
Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, and Yong-Yeol Ahn
Physical Review Letters (Editors’ suggestion) 113, 088701 (2014)
Link | Erratum | arXiv | PDF
#
A Network Framework of Cultural History
Maximilian Schich, Chaoming Song, Yong-Yeol Ahn, Alexander Mirsky, Mauro Martino, Albert-László Barabási, and Dirk Helbing
Science 345, 558 (2014)
Link | PDF | Project page | Nature video: Charting culture
Nature News | National Geographic | Business Insider | The Times | Daily Mail | Spiegel | Scientific American | NPR | 동아사이언스
#
Virality Prediction and Community Structure in Social Networks
L. Weng, F. Menczer, and Y.-Y. Ahn
Scientific Reports 3, 2522 (2013)
Link | arXiv | PDF | Slides | Project page | Data
Scientific American | IEEE SPECTRUM
#
Flavor network and the principles of food pairing
Y.-Y. Ahn, S. Ahnert, J. P. Bagrow, and A.-L. Barabási
Scientific Reports 1, 196 (2011)
Link | arXiv | PDF | Hi-res Fig 2 | poster | Data
Nature News | Scientific American | Technology Review | List of media coverage
#
Evidence for Network Evolution in an Arabidopsis Interactome Map
Arabidopsis Interactome Mapping Consortium
Science 333, 601 (2011)
Link | PDF
#
Pulse of the Nation: visualizing the mood of twitter
A. Mislove, S. Lehmann, Y.-Y. Ahn, J.-P. Onnela, J. N. Rosenquist
Project page | YouTube |
Slashdot | NewScientist | CBS | BBC | NYTimes | and more
#
Link communities reveal multiscale complexity in networks
Y.-Y. Ahn, J. P. Bagrow, and S. Lehmann
Nature 466, 761 (2010)
Link | arXiv | PDF | source codes & visualization | Talk slides
news@Northeastern | 한겨레 사이언스온
#
Analysis of Topological Characteristics of Huge Online Social Networking Services
Y.-Y. Ahn, S. Han, H. Kwak, S. Moon, and H. Jeong
WWW’07 (2007)
PDF | Updated & corredted PDF | Data