| The effects of information overload on online conversation dynamics C Gunaratne, N Baral, W Rand, I Garibay, C Jayalath, C Senevirathna Computational and Mathematical Organization Theory 26 (2), 255-276, 2020 | 46 | 2020 |
| Deep agent: Studying the dynamics of information spread and evolution in social networks I Garibay, TA Oghaz, N Yousefi, EÇ Mutlu, M Schiappa, S Scheinert, ... Conference of the Computational Social Science Society of the Americas, 153-169, 2020 | 24 | 2020 |
| Initializing agent-based models with clustering archetypes S Saadat, C Gunaratne, N Baral, G Sukthankar, I Garibay International conference on social computing, behavioral-cultural modeling …, 2018 | 20 | 2018 |
| A multi-action cascade model of conversation C Gunaratne, C Senevirathna, C Jayalath, N Baral, W Rand, I Garibay 5th International Conference on Computational Social Science, 2019 | 12 | 2019 |
| Online rejection influence on behavior deviancy and radicalization: An agent-based model approach H Haddad, N Baral, I Garibay Proceedings of the 2020 Conference of The Computational Social Science …, 2022 | 4 | 2022 |
| Deep Agent: Computational social science centered simulation of online information environments I Garibay, M Schiappa, GC Anagnostopoulos, C Bouwens, S Fiore, ... Proceedings of International Conference on Computational Social Science, 2019 | 3 | 2019 |
| Negative influence gradients lead to lowered information processing capacity on social networks N Baral, C Gunaratne, C Jayalath, W Rand, C Senevirathna, I Garibay conference of the Computational Social Science Society of the Americas, 265-275, 2020 | 2 | 2020 |
| A theory of extended working memory and its role in online conversation dynamics C Gunaratne, N Baral, W Rand, I Garibay, C Jayalath, C Senevirathna arXiv preprint arXiv:1910.09686, 2019 | 2 | 2019 |
| Investigating the Effects of Negative Influence Gradients and Emotion Contagion on the Information Processing Capacity of Social Media Users: Information Diffusion Modeling … N Baral | | 2022 |
| Negative Influence Gradients Lead to Lowered Response Capacity on Social Networks N Baral, C Gunaratne, C Jayalath, W Rand, C Senevirathna, I Garibay | | |