| The homophily principle in social network analysis: A survey KZ Khanam, G Srivastava, V Mago Multimedia Tools and Applications 82 (6), 8811-8854, 2023 | 47 | 2023 |
| The homophily principle in social network analysis KZ Khanam, G Srivastava, V Mago arXiv preprint arXiv:2008.10383, 2020 | 27 | 2020 |
| Using Twitter for diabetes community analysis KD Patel, K Zainab, A Heppner, G Srivastava, V Mago Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-16, 2020 | 13 | 2020 |
| Identifying health related occupations of Twitter users through word embedding and deep neural networks K Zainab, G Srivastava, V Mago BMC bioinformatics 22 (Suppl 10), 630, 2021 | 4 | 2021 |
| NODDLE: Node2vec based deep learning model for link prediction KZ Khanam, A Singhal, V Mago National Conference on Big Data Technology and Applications, 196-212, 2021 | | 2021 |
| Using homophily to analyze and develop link prediction models with deep learning framework KZ Khanam | | 2021 |
| Finding suitable locations for live campaigns using different machine learning techniques MMA Qudar, T Tazrin, KZ Khanam BRAC University, 2018 | | 2018 |
