Center for Complex Networks and Systems Research
School of Informatics and Computing
Indiana University Bloomington
Informatics East, Rm 316
919 E 10th Street, Bloomington, IN 47408
Phone: +1 (812) 856 2920
Office hours: Tuesday 3pm-5pm (2014 Fall semester)
Book an appointment: http://doodle.com/yyahn (please suggest multiple slots)
Curriculum Vitae: cv.pdf
Yong-Yeol (YY) Ahn is an assistant professor at Indiana University School of Informatics and Computing and a co-founder of Janys Analytics. He develops and leverages mathematical and computational methods to study complex systems such as cells, the brain, society, and culture. His recent contribution includes a new framework to identify pervasively overlapping modules in networks, network-based algorithms to predict viral memes, and a new computational approach to study food culture. He is a recipient of several awards including Microsoft Research Faculty Fellowship. 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 for three years after earning his PhD in Statistical Physics from KAIST in 2008.
I am interested in the structure and dynamics of complex systems, such as society and living organisms. So, I usually play with massive datasets and muse on the hidden patterns. My main research interests are:
Our paper “A network framework of cultural history” has been published in Science. Congratulations Maximilian Schich, Chaoming Song, Alexander Mirsky, Mauro Martino, László Barabási, and Dirk Helbing! Also check out a video produced by Nature!
Our paper “Optimal network modularity for information diffusion” has been accepted in Physical Review Letters and will be featured in Editor’s Suggestion. Congratulations Azadeh Nematzadeh, Emilio Ferrara, and Alessandro Flammini!
Our paper “Community-Enhanced De-anonymization of Online Social Networks” has been accepted in 21st ACM Conference on Computer and Communications Security (CCS’14). Congratulations Shirin Nilizadeh and Apu Kapadia!
Microsoft Research has named me as one of the 2014 Microsoft Research Faculty Fellows!
Our recent work on viral meme prediction was covered by Scientific American!
(underlined authors contributed equally)
A Network Framework of Cultural History
M. Schich, C. Song, Y.-Y. Ahn, A. Mirsky, M. Martino, A.-L. Barabási, and D. Helbing
Science 345, 558 (2014) [Link] [PDF] [Project page]
[Nature News] [National Geographic] [Business Insider] [The Times] [Daily Mail] [Spiegel] [Scientific American] [NPR] [동아사이언스] and more.
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] [Ingredient-compounds dataset] [Recipe datasets with cuisines]
[Nature News] [Scientific American] [Technology Review] and [more]
Googling social interactions: Web search engine based social network construction
S. H. Lee, P.-J. Kim, Y.-Y. Ahn, and H. Jeong
PLOS ONE 5, e11233 (2010) [Link] [arXiv] [PDF] [Project page]
[NewScientist] [georgezaidan:Pocket Science]
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]
A blueprint for antimicrobial hit discovery targeting metabolic networks
Y. Shen, J. Liu, G. Estiu, B. Isin, Y.-Y. Ahn, D.-S. Lee, A.-L. Barabási, V. Kapatral, O. Wiest, and Z. N. Oltvai
PNAS 107, 1082 (2010). [Link] [PDF]