Publications
Oz, T. 2020. Digital Trails of Work Stressors. In Social, Cultural, and Behavioral Modeling. SBP-BRIMS. https://doi.org/10.31219/osf.io/wxcqp.
Burger, A., Oz, T., Kennedy, W. G., & Crooks, A. T. 2019. Computational Social Science of Disasters: Opportunities and Challenges. Future Internet, 11(5): 103. https://doi.org/10.3390/fi11050103.
Burger, A., Oz, Talha, Yuan, Xiaoyi, Crooks, Andrew, & Kennedy, William. 2018. Agent-Based Models for Megacities and Social Networks in Disaster. In XIX ISA World Congress of Sociology (July 15-21, 2018). Isaconf.
Oz, T. 2018, May. How Can Organizational Network Analysis (ONA) Help Improve Company Performance? https://scholar.harvard.edu/people_analytics/publications/how-can-organizational-network-analysis-ona-help-improve-company.
Oz, T., Havens, R., & Bisgin, H. 2018. Assessment of Blame and Responsibility Through Social Media in Disaster Recovery in the Case of #FlintWaterCrisis. Frontiers in Communication, 3. https://doi.org/10.3389/fcomm.2018.00045.
Burger, A., Oz, T., Crooks, A., & Kennedy, W. G. 2017. Generation of Realistic Mega-City Populations and Social Networks for Agent-Based Modeling. In Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas, 15:1–15:7. New York, NY, USA: ACM. https://doi.org/10.1145/3145574.3145593.
Oz, T. 2017, January. Collective Stress in the Digital Age. Dissertation Proposal, George Mason University.
Oz, T. 2016. Twlets: From Twitter to Excel. http://twlets.com.
Oz, T., & Bisgin, H. 2016. Attribution of Responsibility and Blame Regarding a Man-made Disaster: #FlintWaterCrisis. In arXiv:1610.03480 [cs]. Indianapolis, IN. http://arxiv.org/abs/1610.03480.
Oz, T. 2015a. 113th Congress as News Commentators on Twitter. SSRN Scholarly Paper no. ID 2918958, Portland, OR: American Political Science Association.
Oz, T. 2015b, May. All the Commentaries That’s Fit to Tweet. Evanston, IL.
Thrall, T., Armstrong, A., & Oz, T. 2015. Circle of Doom? How the Public Shapes the Public Sphere. In APSA 2015.
Ngufor, C., Wojtusiak, J., Hooker, A., Oz, T., & Hadley, J. 2014. Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction. In The Twenty-Seventh International Flairs Conference.
Oz, T. 2014, May. Turkish News Audience and Their Political Leanings on Twitter. Montreal, QC, Canada.
Oz, T., & Wojtusiak, J. 2014, February. Specialty and Physician Referral Network. St. Pete Beach, FL.
Oz, T., Ngufor, C., & Wojtusiak, J. 2013. Mining Progress Notes for Prediction of Activities of Daily Living. In AMIA.
Kardes, H., Gunes, M., & Oz, T. 2012. Cheleby: A subnet-level internet topology mapping system. In 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012), 1–10. https://doi.org/10.1109/COMSNETS.2012.6151326.
Oz, T. 2012, November. Mining Clinical Notes and Ontologies to Predict Functional Status. Williamsburg, VA.
Oz, T., Kardes, H., & Gunes, M. H. 2011, February. Cheleby: An Internet Topology Mapping System. San Diego, CA.
Oz, T. 2010. Cheleby: Internet Topology Collection System. PhD thesis, University of Nevada, Reno.
Oz, T., & Gok, M. S. 2008, June. Fire Simulator and Wind Direction Detector. PhD thesis, Bogazici University, Istanbul, Turkey.
Koculu, A. Y., & Oz, T. 2001. Encryption and Decryption with RSA Algorithm using Parallel Computing. Ankara, Turkey: TUBITAK.