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: Wednesday 9am-10am (2017 Fall). If you can’t make it, use 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 systematic identification and analysis of scientists on Twitter is published in PLOS ONE. Check out an article from Nature News about the paper!
Our paper “Cooperative and Competitive Spreading Dynamics on the Human Connectome” is on the cover of Neuron! Check out the coverage from IU Bloomington Newsroom
My research was highlighted in 2014 Vice President for Research Annual Report.
(underlined authors contributed equally)
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]
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 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]
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]