Articles in Proceedings
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Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease
Rajabi, A., Gunaratne, C., Mantzaris, A. V., and Garibay, I. 2020 Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, page 1975-1977, Auckland, New Zealand. International Foundation for Autonomous Agents and Multiagent Systems. doi:10.5555/3398761.3399046 [Request Reprint] [Publisher] |
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On countering disinformation with caution: Effective inoculation strategies and others that backfire into community hyper-polarization
Rajabi, A., Gunaratne, C., Mantzaris, A. V., and Garibay, I. 2020 In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). Springer. (to appear) [Request Reprint] |
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Resistance of communities of against conspiracies
Rajabi, A., Talebzadehhosseini, S., and Garibay, I. 2020 In Proceedings of the Conference of the Computational Social Science Society of the Americas (CSS2019), Santa Fe, NM. Springer. (to appear) [Request Reprint] |
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Negative influence gradients lead to lowered attention span on social networks
Baral, N., Gunaratne, C., Jayalath, C., Rand, W., Senevirathna, C., and Garibay, I. 2020 In Proceedings of the Conference of the Computational Social Science Society of the Americas (CSS2019), Santa Fe, NM. Springer. (to appear) [Request Reprint] |
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The degree-dependent threshold model: Towards a better understanding of opinion dynamics on online social networks Best Paper Award
Mutlu, E. and Garibay, I. 2020 In Proceedings of the Conference of the Computational Social Science Society of the Americas (CSS2019), Santa Fe, NM. Springer. Best paper award (to appear) [Request Reprint] [Pre-print] |
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Deep agent: A framework for information spread and evolution in social networks
Garibay, I., Oghaz, T., Yousefi, N., Mutlu, E., Schiappa, M., et al. 2020 In Proceedings of the Conference of the Computational Social Science Society of the Americas (CSS2019), Santa Fe, NM. Springer. (to appear) [Request Reprint] |
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Global transitioning towards a green economy: Analyzing the evolution of the green product space of the two largest world economies
Talebzadehhosseini, S., Scheinert, S., and Garibay, I. 2020 In Cherifi, H., Gaito, S., Mendes, J., Moro, E., and L., R., editors, Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019, volume 882 of Studies in Computational Intelligence. Springer, Cham. doi:10.1007/978-3-030-36683-4_51 [Publisher] [Request Reprint] |
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Enhancing the program quality and college-level success metrics of an IT program at a large public university
Basavaraj, P. and Garibay, I.
2020 In Proceedings of the 20th Annual SIG Conference on Information Technology Education, SIGITE '19 page 16-21, New York, NY, USA. Association for Computing Machinery. doi:10.1145/3349266.3351418 [Publisher] [Request Reprint] |
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Cyber security in a complex community: A social media analysis on common vulnerabilities and exposures.
Schiappa, M., Chantry, G., and Garibay, I.
2019 In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS) , Granada, Spain. IEEE. doi:10.1109/SNAMS.2019.8931883 [Publisher] [Request Reprint] |
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Dropout vs. time to degree: The existing tension between retaining and graduating 'at-risk' students in a timely manner
Basavaraj, P. and Garibay, I. 2019 In SIGITE '19: Proceedings of the 20th Annual SIG Conference on Information Technology Education , page 154. Association for Computing Machinery. doi:10.1145/3349266.3351374 [Publisher] [Request Reprint] |
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Supervised machine learning based ensemble model for accurate prediction of type2 diabetes
Akula, R., Nguyen, N., and Garibay, I. 2020 In 2019 SoutheastCon , Huntsville, AL, USA. IEEE. doi:10.1109/SoutheastCon42311.2019.9020358 [Publisher] [Request Reprint] |
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Dynamics of information cascades
Jasser, J. and Garibay, I. 2019 In Liu, L. and White, R., editors, Companion Proceedings of The 2019 World Wide Web Conference (WWW '19) , pages 33-36, New York, NY, USA. ACM. doi:10.1145/3308560.3314194 [Publisher] [Request Reprint] |
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Forecasting the success of television series using machine learning
Akula, R., Weiselthier, Z., Martin, L., and Garibay, I. 2020 In 2019 SoutheastCon , Huntsville, AL, USA. IEEE. doi:10.1109/SoutheastCon42311.2019.9020419 [Publisher] [Request Reprint] |
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Deepfork: Supervised prediction of information diffusion on github
Akula, R., Yousefi, N., , and Garibay, I. 2019 In Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM-2019) , pages 3640–3651, Bangkok, Thailand. IEOM Society International. ISBN: 978-1-5323-5948-4. [Publisher] [Request Reprint] |