| Social network analysis: An overview S Tabassum, FSF Pereira, S Fernandes, J Gama Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (5 …, 2018 | 393 | 2018 |
| Privy: Privacy preserving collaboration across multiple service providers to combat telecom spams MA Azad, S Bag, S Tabassum, F Hao IEEE transactions on emerging topics in computing 8 (2), 313-327, 2017 | 29 | 2017 |
| Sampling massive streaming call graphs S Tabassum, J Gama Proceedings of the 31st annual ACM symposium on applied computing, 923-928, 2016 | 24 | 2016 |
| Social network analysis in streaming call graphs R Sarmento, M Oliveira, M Cordeiro, S Tabassum, J Gama Big data analysis: new algorithms for a new society, 239-261, 2016 | 17 | 2016 |
| Mining scientific articles powered by machine learning techniques CASJ Gulo, TRPM Rúbio, S Tabassum, SGD Prado 2015 Imperial College computing student workshop (ICCSW 2015), 2015 | 17 | 2015 |
| Social network analytics and visualization: Dynamic topic‐based influence analysis in evolving micro‐blogs S Tabassum, J Gama, PJ Azevedo, M Cordeiro, C Martins, A Martins Expert Systems 40 (5), e13195, 2023 | 8 | 2023 |
| Profiling high leverage points for detecting anomalous users in telecom data networks S Tabassum, MA Azad, J Gama Annals of Telecommunications 75 (9), 573-581, 2020 | 8 | 2020 |
| Social network analysis: An overview. WIREs Data Mining and Knowledge Discovery, 8 (5) S Tabassum, FSF Pereira, S Fernandes, J Gama | 8 | 2018 |
| Sampling evolving ego-networks with forgetting factor S Tabassum, J Gama 2016 17th IEEE international conference on mobile data management (MDM) 2, 55-59, 2016 | 8 | 2016 |
| Interconnect bypass fraud detection: a case study B Veloso, S Tabassum, C Martins, R Espanha, R Azevedo, J Gama Annals of Telecommunications 75 (9), 583-596, 2020 | 5 | 2020 |
| Biased dynamic sampling for temporal network streams S Tabassum, J Gama Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th …, 2019 | 5 | 2019 |
| Processing evolving social networks for change detection based on centrality measures FSF Pereira, S Tabassum, J Gama, S de Amo, GMB Oliveira Learning from Data Streams in Evolving Environments: Methods and …, 2019 | 5 | 2019 |
| Social network analysis of mobile streaming networks S Tabassum 2016 17th IEEE International Conference on Mobile Data Management (MDM) 2, 20-25, 2016 | 5 | 2016 |
| Evolution analysis of call ego-networks S Tabassum, J Gama Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 5 | 2016 |
| A review of recent progress in multi document summarization S Tabassum, E Oliveira Doctoral Symposium in Informatics Engineering, 2015 | 5 | 2015 |
| On fast and scalable recurring link’s prediction in evolving multi-graph streams S Tabassum, B Veloso, J Gama Network Science, 1-17, 2020 | 4 | 2020 |
| Dynamic topic modeling using social network analytics S Tabassum, J Gama, P Azevedo, L Teixeira, C Martins, A Martins Progress in Artificial Intelligence: 20th EPIA Conference on Artificial …, 2021 | 2 | 2021 |
| Massive scale streaming graphs: Evolving network analysis and mining S Tabassum PQDT-Global, 2020 | 2 | 2020 |
| Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs PJ Azevedo, J Gama, S Tabassum | | 2023 |
| Dynamic Topic Modeling Using Social Network Analytics J Gama, S Tabassum | | 2021 |
