| Encouraging civic participation through local news aggregation A Kavanaugh, S Krishnan, M Pérez-Quiñones, J Tedesco, K Madondo, ... Information Polity 19 (1,2), 35-56, 2014 | 44 | 2014 |
| Dynamics of health agency response and public engagement in public health emergency: a case study of CDC tweeting patterns during the 2016 Zika epidemic S Chen, Q Xu, J Buchenberger, A Bagavathi, G Fair, S Shaikh, S Krishnan JMIR public health and surveillance 4 (4), e10827, 2018 | 35 | 2018 |
| Seeing the Forest for the Trees: New Approaches to Forecasting Cascades S Krishnan, P Butler, R Tandon, J Leskovec, N Ramakrishnan ACM Conference on WebScience, 249-258, 2016 | 34 | 2016 |
| Multi-Net: A Scalable Multiplex Network Embedding Framework A Bagavathi, S Krishnan International Conference on Complex Networks and their Applications, 119-131, 2018 | 29* | 2018 |
| Contrasting misinformation and real-information dissemination network structures on social media during a health emergency L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen American journal of public health 110 (S3), S340-S347, 2020 | 20 | 2020 |
| Examining untempered social media: analyzing cascades of polarized conversations A Bagavathi, P Bashiri, S Reid, M Phillips, S Krishnan Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 17 | 2019 |
| Extracting cryptocurrency price movements from the Reddit network sentiment S Wooley, A Edmonds, A Bagavathi, S Krishnan 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 16 | 2019 |
| Pricing a protest: Forecasting the dynamics of civil unrest activity in social media BJ Goode, S Krishnan, M Roan, N Ramakrishnan PloS one 10 (10), e0139911, 2015 | 15 | 2015 |
| Identifying influential factors in the discussion dynamics of emerging health issues on social media: computational study L Safarnejad, Q Xu, Y Ge, A Bagavathi, S Krishnan, S Chen JMIR Public Health and Surveillance 6 (3), e17175, 2020 | 14 | 2020 |
| Detecting online hate speech: Approaches using weak supervision and network embedding models M Ridenhour, A Bagavathi, E Raisi, S Krishnan Social, Cultural, and Behavioral Modeling: 13th International Conference …, 2020 | 14 | 2020 |
| DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection J Melton, A Bagavathi, S Krishnan 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 9 | 2020 |
| Social sensors early detection of contagious outbreaks in social media A Bagavathi, S Krishnan Advances in Artificial Intelligence, Software and Systems Engineering: Joint …, 2019 | 5 | 2019 |
| Deep learning based urban analytics platform: Applications to traffic flow modeling and prediction A Parnami, P Bavi, D Papanikolaou, S Akella, M Lee, S Krishnan ACM SIGKDD Workshop on Mining Urban Data (MUD3); ACM: London, UK, 2018 | 5 | 2018 |
| Inferring Multi-dimensional Ideal Points for US Supreme Court Justices MR Islam, KSMT Hossain, S Krishnan, N Ramakrishnan Conference on Artificial Intelligence, 2016 | 5 | 2016 |
| Dynamic load balancing for petascale quantum Monte Carlo applications: The Alias method CD Sudheer, S Krishnan, A Srinivasan, P Kent Computer Physics Communications 184 (2), 284-292, 2013 | 5 | 2013 |
| A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches P Hajare, S Kamal, S Krishnan, A Bagavathi 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
| The daily use of Gab is climbing. Which talker might become as violent as the Pittsburgh synagogue gunman M Phillips, A Bagavathi, SE Reid, M Valasik, S Krishnan The Washington Post, 2018 | 4 | 2018 |
| PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings M Kapoor, J Melton, M Ridenhour, S Krishnan, T Moyer 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 3 | 2021 |
| The dynamics of competing cascades in social media: Applications to agenda setting S Krishnan, J Cadena, N Ramakrishnan Proceedings of the WSDM 2014 Workshop on Diffusion Networks and Cascade …, 2014 | 2 | 2014 |
| muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs J Melton, S Krishnan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
Arunkumar BagavathiOklahoma State UniversityVerified email at okstate.edu
