We are interested in applying descriptive, predictive, and prescriptive analytics to a variety of problems in social science, marketing, recommendation systems, and social networks. We are studying the impact of social influence on online markets and have shown some surprising results on the efficiency and predictability of these markets, both from a theoretical and simulation standpoint. We are also studying the benefits of social media in various activities, including in disaster management and recommendation systems.
- Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity. M.-A. Rizoiu, L. Xie, S. Sanner, M. Cebrian, H. Yu, and P. Van Hentenryck. In the Proceedings of The 26th International World Wide Web Conference, Perth, Australia. April 3–7, 2017.
- Taming the Unpredictability of Cultural Markets with Social Influence. Andres Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg and Kristina Lerman. In the Proceedings of The 26th International World Wide Web Conference, Perth, Australia. April 3–7, 2017.
- Taming the Matthew Effect in Online Markets with Social Influence. Franco Berbeglia and Pascal Van Hentenryck. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Franciso, CA, February 4–9, 2017.
Linking endogenous and exogenous popularity processes in social media.
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrian, Honglin Yu, Pascal Van Hentenryck.
Eprint arXiv:1602.06033, July 2016.
Asymptotic Optimality of Myopic Optimization in Trial-Offer Markets with Social Influence.
Andres Abeliuk, Gerardo Berbeglia, Felipe Maldonado, and Pascal Van Hentenryck.
25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York, NY, July 9-15, 2016.
Aligning Popularity and Quality in Online Cultural Markets. Pascal Van Hentenryck, Andres Abeliuk, Franco Berbeglia, Felipe Maldonado, and Gerardo Berbeglia.
Proceedings of the 10th International AAAI Conference on Web and Social Media(ICWSM-16), Cologne, Germany, May 17-20, 2016
- Rapid assessment of disaster damage using social media activity. Yury Kryvasheyeu, Haohui Chen, Nick Obradovich, Esteban Moro, Pascal Van Hentenryck, James Fowler, Manuel Cebrian.
Science Advances. 2(3), March, 11, 2016
- Assortment Optimization under a Multinomial Logit Model with Position Bias and Social Influence. Andres Abeliuk, Gerardo Berbeglia, Manuel Cebrian, and Pascal Van Hentenryck.
4OR. 14(1), 57-75, 2016.
Popularity Signals in Trial-Offer Markets.
Felipe Maldonado, Pascal Van Hentenryck, Gerardo Berbeglia, and Franco Berbeglia.
Eprint arXiv:1512.07251, December 2015.
The Benefits of Segmentation in Trial-Offer Markets with Social Influence and Position Bias.
Franco Berbeglia, Gerardo Berbeglia, and Pascal Van Hentenryck.
Eprint arXiv:1511.00750, November 2015.
Bargaining Mechanisms for One-Way Games Andres Abeliuk, Gerardo Berbeglia,and Pascal Van Hentenryck
Games, 6, 347-367, 2015. (Special Issue on Bargaining Games)
Competitive Dynamics Between Criminals and Law Enforcement Explains the Super-Linear Scaling of Crime in Cities Soumya Banerjee, Pascal Van Hentenryck, and Manuel Cebrian.
Palgrave Communications, 1 (15022), 2015
The Benefits of Social Influence in Optimized Cultural Markets Andres Abeliuk, Gerardo Berbeglia, Manuel Cebrian, Pascal Van Hentenryck
PLOS One, 10(4), April, 2015.
Performance of Social Network Sensors During Hurricane Sandy Yury Kryvasheyeu, Caron Chen, Esteban Moro, Pascal Van Hentenryck, Manuel Cebrian
PLOS One, 10(2), February, 2015.
Crowdsourcing contest dilemma Victor Naroditskiy, Nicholas Jennings, Pascal Van Hentenryck, Manuel Cebrian
Journal of the Royal Society Interface, October, 2014.