MITIGATE Project

Emilio Ferrara (Professor of Computer Science at USC) & (HUmans | MAchines | Networks | Society) Lab


MITIGATE: Modeling Individual Trajectories and Incentives in Gamified Techno-social Environments

Funded by: DARPA Young Faculty Award & DARPA Director’s Award


Publications

  1. Kobayashi, T., Sapienza, A., & Ferrara, E. Extracting the multi-timescale activity patterns of online financial markets. Scientific Reports, volume 8, Article number: 11184 (2018). Article Link
  2. Sapienza, A., Zeng, Y., Bessi, A., Lerman, K., & Ferrara, E. Individual performance in team-based online games. Royal Society Open Science, 5(6), 180329. (2018). Article Link
  3. Sapienza, A., Bessi, A., & Ferrara, E. Non-negative tensor factorization for human behavioral pattern mining in online games. Information, 9(3), 66. (2018). Article Link
  4. Sapienza, A., Goyal, P., & Ferrara, E. Recommending Teammates with Deep Neural Networks. Proceedings of the 29th on Hypertext and Social Media, 57-61. (2018). Article Link
  5. Arakelyan, S., Morstatter, F., Martin, M., Ferrara, E., & Galstyan, A. Mining and Forecasting Career Trajectories of Music Artists. Proceedings of the 29th on Hypertext and Social Media, 11-19 (2018). Article Link
  6. Matsui, Sapienza, Ferrara. Playing under the influence (of Twitch): The effects of streaming on gamers’ performance. UCI Esports Conference 2018, 2018
  7. Hosseinmardi, H., Kao, H. T., Lerman, K., & Ferrara, E. Discovering hidden structure in high dimensional human behavioral data via tensor factorization. In WSDM Heteronam Workshop. (2018). Article Link
  8. Ferrara, E., Alipourfard, N., Burghardt, K., Gopal, C., & Lerman, K. Dynamics of content quality in collaborative knowledge production. Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017) (2017). Article Link
  9. Sapienza, A., Peng, H., & Ferrara, E. Performance dynamics and success in online games. In Data Mining Workshops (ICDMW), 2017 IEEE International Conference on (pp. 902-909). IEEE. (2017, November). Article Link
  10. Goyal, P., Hosseinmardi, H., Ferrara, E., & Galstyan, A. (2018). Capturing edge attributes via network embedding. IEEE Transactions on Computational Social Systems, 5(4), 907-917. Article Link

Pending publications:

  1. Hosseinmardi, Ghasemian, Narayanan, Lerman, Ferrara. Supervised Embedding of Temporal Data via Tensor Factorization. Under review
  2. Pozzana, I., & Ferrara, E. (2018). Measuring bot and human behavioral dynamics. arXiv preprint arXiv:1802.04286. Under review
  3. Zeng, Sapienza, Ferrara (2018). The Influence of Social Ties on Performance in Team-based Online Games. Under review
  4. Sapienza, A., Goyal, P., & Ferrara, E. Deep Neural Networks for Optimal Team Composition. arXiv preprint arXiv:1805.03285. Under review
  5. Hosseinmardi, Twari, Kao, Yan, Narayanan, Falk, Lerman, Ferrara. Predictability of Perceived Job Performance via Physiological Signals in Longitudinal Data. Under review

Team

Emilio Ferrara
Emilio Ferrara
Principal Investigator
Homa Hosseinmardi Goran Muric Anna Sapienza Zhenxiang Gao
Homa Hosseinmardi
Postdoc
Goran Muric
Postdoc
Anna Sapienza
Postdoc
Gao Zhenxiang
Postdoc
Adam Badawy Ashok Deb Palash Goyal Di Huang
Adam Badawy
PhD
Ashok Deb
PhD
Palash Goyal
PhD
Di (Diana) Huang
PhD
Hsien-Te Kao Akira Matsui Shen Yan Yilei Zeng
Hsien-Te Kao
PhD
Akira Matsui
PhD
Shen Yan
PhD
Yilei Zeng
PhD

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