| Using community information to improve the precision of link prediction methods S Soundarajan, J Hopcroft Proceedings of the 21st international conference on world wide web, 607-608, 2012 | 152 | 2012 |
| Hidden community detection in social networks K He, Y Li, S Soundarajan, JE Hopcroft Information Sciences 425, 92-106, 2018 | 119 | 2018 |
| A guide to selecting a network similarity method S Soundarajan, T Eliassi-Rad, B Gallagher Proceedings of the 2014 Siam international conference on data mining, 1037-1045, 2014 | 85 | 2014 |
| On the separability of structural classes of communities B Abrahao, S Soundarajan, J Hopcroft, R Kleinberg Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 60 | 2012 |
| An ultra-efficient memristor-based DNN framework with structured weight pruning and quantization using ADMM G Yuan, X Ma, C Ding, S Lin, T Zhang, ZS Jalali, Y Zhao, L Jiang, ... 2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019 | 56 | 2019 |
| Generating graph snapshots from streaming edge data S Soundarajan, A Tamersoy, EB Khalil, T Eliassi-Rad, DH Chau, ... Proceedings of the 25th international conference companion on world Wide Web …, 2016 | 55 | 2016 |
| Measuring and improving the core resilience of networks R Laishram, AE Sariyüce, T Eliassi-Rad, A Pinar, S Soundarajan Proceedings of the 2018 World Wide Web Conference, 609-618, 2018 | 38 | 2018 |
| The k-peak decomposition: Mapping the global structure of graphs P Govindan, C Wang, C Xu, H Duan, S Soundarajan Proceedings of the 26th International Conference on World Wide Web, 1441-1450, 2017 | 31 | 2017 |
| Use of local group information to identify communities in networks S Soundarajan, JE Hopcroft ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-27, 2015 | 30 | 2015 |
| On the information unfairness of social networks ZS Jalali, W Wang, M Kim, H Raghavan, S Soundarajan Proceedings of the 2020 SIAM International Conference on Data Mining, 613-521, 2020 | 27 | 2020 |
| Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core R Laishram, A Erdem Sar, T Eliassi-Rad, A Pinar, S Soundarajan Proceedings of the 2020 SIAM International Conference on Data Mining, 325-333, 2020 | 26 | 2020 |
| A separability framework for analyzing community structure B Abrahao, S Soundarajan, J Hopcroft, R Kleinberg ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (1), 1-29, 2014 | 25 | 2014 |
| ε-wgx: Adaptive edge probing for enhancing incomplete networks S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar Proceedings of the 2017 ACM on Web Science Conference, 161-170, 2017 | 21 | 2017 |
| MaxReach: Reducing network incompleteness through node probes S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 20 | 2016 |
| Characterizing the evolution of communities on reddit H Mensah, L Xiao, S Soundarajan International Conference on Social Media and Society, 58-64, 2020 | 19 | 2020 |
| Predicting graph categories from structural properties JP Canning, EE Ingram, S Nowak-Wolff, AM Ortiz, NK Ahmed, RA Rossi, ... | 16 | 2018 |
| Using artificial intelligence to identify administrative errors in unemployment insurance MM Young, J Himmelreich, D Honcharov, S Soundarajan Government Information Quarterly 39 (4), 101758, 2022 | 15 | 2022 |
| Guidelines for online network crawling: A study of data collection approaches and network properties K Areekijseree, R Laishram, S Soundarajan Proceedings of the 10th ACM Conference on Web Science, 57-66, 2018 | 15 | 2018 |
| Characterizing susceptible users on reddit's changemyview H Mensah, L Xiao, S Soundarajan Proceedings of the 10th International Conference on Social Media and Society …, 2019 | 14 | 2019 |
| Network classification and categorization JP Canning, EE Ingram, S Nowak-Wolff, AM Ortiz, NK Ahmed, RA Rossi, ... arXiv preprint arXiv:1709.04481, 2017 | 13 | 2017 |
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
