| 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD International Conference on Knowledge …, 2014 | 298 | 2014 |
| Forecasting Social Unrest Using Activity Cascades J Cadena, G Korkmaz, CJ Kuhlman, A Marathe, N Ramakrishnan, ... PloS one 10 (6), e0128879, 2015 | 83 | 2015 |
| The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches S Keller, G Korkmaz, M Orr, A Schroeder, S Shipp Annual Review of Statistics and Its Application 4, 85-108, 2017 | 68 | 2017 |
| Combining Heterogeneous Data Sources for Civil Unrest Forecasting G Korkmaz, J Cadena, C Kuhlman, A Vullikanti, A Marathe, ... Proceedings of 2015 IEEE/ACM International Conference on Advances in Social …, 2015 | 61 | 2015 |
| Using text to predict psychological and physical health: A comparison of human raters and computerized text analysis KS Ziemer, G Korkmaz Computers in Human Behavior 76, 122-127, 2017 | 52 | 2017 |
| Detecting and forecasting domestic political crises: a graph-based approach Y Keneshloo, J Cadena, G Korkmaz, N Ramakrishnan Proceedings of the 2014 ACM conference on Web science, 192-196, 2014 | 50 | 2014 |
| Opportunities to observe and measure intangible inputs to innovation: Definitions, operationalization, and examples S Keller, G Korkmaz, C Robbins, S Shipp Proceedings of the National Academy of Sciences 115 (50), 12638-12645, 2018 | 33 | 2018 |
| Collective action through common knowledge using a Facebook model G Korkmaz, CJ Kuhlman, A Marathe, MV Marathe, F Vega-Redondo Proceedings of the 2014 International Conference on Autonomous Agents and …, 2014 | 32 | 2014 |
| Doing Data Science: A Framework and Case Study SA Keller, SS Shipp, AD Schroeder, G Korkmaz Harvard Data Science Review 2 (1), 2020 | 29 | 2020 |
| Modeling the social and spatial proximity of crime: domestic and sexual violence across neighborhoods C Kelling, C Graif, G Korkmaz, M Haran Journal of quantitative criminology 37, 481-516, 2021 | 28 | 2021 |
| Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis Y Ren, V Cedeno-Mieles, Z Hu, X Deng, A Adiga, C Barrett, S Ekanayake, ... 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 28 | 2018 |
| Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework V Cedeno-Mieles, Z Hu, Y Ren, X Deng, A Adiga, C Barrett, N Contractor, ... Social Network Analysis and Mining 10, 1-43, 2020 | 21 | 2020 |
| Open Source Software as Intangible Capital: Measuring the Cost and Impact of Free Digital Tools CA Robbins, G Korkmaz, JBS Calderón, D Chen, C Kelling, S Shipp, ... Paper from 6th IMF Statistical Forum on Measuring Economic Welfare in the …, 2018 | 21 | 2018 |
| Multi-source models for civil unrest forecasting G Korkmaz, J Cadena, CJ Kuhlman, A Marathe, A Vullikanti, ... Social Network Analysis and Mining 1 (6), 1-25, 2016 | 20 | 2016 |
| Modeling the impact of Python and R packages using dependency and contributor networks G Korkmaz, C Kelling, C Robbins, S Keller Social Network Analysis and Mining 10, 1-12, 2020 | 14 | 2020 |
| A computational study of homophily and diffusion of common knowledge on social networks based on a model of Facebook G Korkmaz, CJ Kuhlman, J Goldstein, F Vega-Redondo Social Network Analysis and Mining 10 (1), 1-12, 2020 | 13 | 2020 |
| Coordination and Common Knowledge on Communication Networks G Korkmaz, M Capra, A Kraig, K Lakkaraju, CJ Kuhlman, ... Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 12 | 2018 |
| A Bayesian simulation approach for supply chain synchronization B Pires, J Goldstein, D Higdon, P Sabin, G Korkmaz, S Shipp, S Keller, ... Winter Simulation Conference (WSC), 2017, 1571-1582, 2017 | 12 | 2017 |
| Can Administrative Housing Data Replace Survey Data? E Molfino, G Korkmaz, SA Keller, A Schroeder, S Shipp, DH Weinberg Cityscape 19 (1), 265-292, 2017 | 11 | 2017 |
| Modeling the Impact of R Packages Using Dependency and Contributor Networks G Korkmaz, C Kelling, C Robbins, SA Keller 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 10 | 2018 |
Chris J. KuhlmanBiocomplexity Institute and Initiative, University of Virginia在 virginia.edu 的电子邮件经过验证
