| Detection of cyberbullying incidents on the instagram social network H Hosseinmardi, SA Mattson, RI Rafiq, R Han, Q Lv, S Mishra arXiv preprint arXiv:1503.03909, 2015 | 258 | 2015 |
| Analyzing labeled cyberbullying incidents on the instagram social network H Hosseinmardi, SA Mattson, R Ibn Rafiq, R Han, Q Lv, S Mishra Social Informatics: 7th International Conference, SocInfo 2015, Beijing …, 2015 | 253 | 2015 |
| Examining the consumption of radical content on YouTube H Hosseinmardi, A Ghasemian, A Clauset, M Mobius, DM Rothschild, ... Proceedings of the National Academy of Sciences 118 (32), e2101967118, 2021 | 217* | 2021 |
| Evaluating overfit and underfit in models of network community structure A Ghasemian, H Hosseinmardi, A Clauset IEEE Transactions on Knowledge and Data Engineering 32 (9), 1722-1735, 2019 | 191 | 2019 |
| Stacking models for nearly optimal link prediction in complex networks A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset Proceedings of the National Academy of Sciences 117 (38), 23393-23400, 2020 | 164 | 2020 |
| Careful what you share in six seconds: Detecting cyberbullying instances in Vine RI Rafiq, H Hosseinmardi, R Han, Q Lv, S Mishra, SA Mattson Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 126 | 2015 |
| Prediction of cyberbullying incidents in a media-based social network H Hosseinmardi, RI Rafiq, R Han, Q Lv, S Mishra 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 121 | 2016 |
| Towards understanding cyberbullying behavior in a semi-anonymous social network H Hosseinmardi, A Ghasemianlangroodi, R Han, Q Lv, S Mishra Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM …, 2014 | 110 | 2014 |
| A comparison of common users across instagram and ask. fm to better understand cyberbullying H Hosseinmardi, S Li, Z Yang, Q Lv, RI Rafiq, R Han, S Mishra 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 85 | 2014 |
| Quantifying partisan news diets in Web and TV audiences D Muise, H Hosseinmardi, B Howland, M Mobius, D Rothschild, DJ Watts Science advances 8 (28), eabn0083, 2022 | 71 | 2022 |
| Scalable and timely detection of cyberbullying in online social networks RI Rafiq, H Hosseinmardi, R Han, Q Lv, S Mishra Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1738-1747, 2018 | 60 | 2018 |
| Capturing edge attributes via network embedding P Goyal, H Hosseinmardi, E Ferrara, A Galstyan IEEE Transactions on Computational Social Systems 5 (4), 907-917, 2018 | 38 | 2018 |
| Analysis and detection of labeled cyberbullying instances in Vine, a video-based social network RI Rafiq, H Hosseinmardi, SA Mattson, R Han, Q Lv, S Mishra Social network analysis and mining 6, 1-16, 2016 | 37 | 2016 |
| Prediction of cyberbullying incidents on the Instagram social network H Hosseinmardi, SA Mattson, RI Rafiq, R Han, Q Lv, S Mishr arXiv preprint arXiv:1508.06257, 2015 | 37 | 2015 |
| Understanding cyberbullying on Instagram and Ask. Fm via social role detection HT Kao, S Yan, D Huang, N Bartley, H Hosseinmardi, E Ferrara Companion proceedings of the 2019 world wide web conference, 183-188, 2019 | 35 | 2019 |
| Deplatforming did not decrease Parler users’ activity on fringe social media M Horta Ribeiro, H Hosseinmardi, R West, DJ Watts PNAS nexus 2 (3), pgad035, 2023 | 23 | 2023 |
| Embedding networks with edge attributes P Goyal, H Hosseinmardi, E Ferrara, A Galstyan Proceedings of the 29th on Hypertext and Social Media, 38-42, 2018 | 19 | 2018 |
| Analyzing negative user behavior in a semi-anonymous social network H Hosseinmardi, R Han, Q Lv, S Mishra, A Ghasemianlangroodi CoRR abs 1404, 2014 | 17 | 2014 |
| Causally estimating the effect of YouTube’s recommender system using counterfactual bots H Hosseinmardi, A Ghasemian, M Rivera-Lanas, M Horta Ribeiro, R West, ... Proceedings of the National Academy of Sciences 121 (8), e2313377121, 2024 | 16 | 2024 |
| Discovering hidden structure in high dimensional human behavioral data via tensor factorization H Hosseinmardi, HT Kao, K Lerman, E Ferrara arXiv preprint arXiv:1905.08846, 2019 | 15 | 2019 |
Amir GhasemianComputing Innovation Fellow, HNL @YaleBestätigte E-Mail-Adresse bei colorado.edu
