| Detecting overlapping communities in social networks by game theory and structural equivalence concept H Alvari, S Hashemi, A Hamzeh International Conference on Artificial Intelligence and Computational …, 2011 | 56 | 2011 |
| Community detection in dynamic social networks: A game-theoretic approach H Alvari, A Hajibagheri, G Sukthankar 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 45 | 2014 |
| A Non-Parametric Learning Approach to Identify Online Human Trafficking H Alvari, P Shakarian, JEK Snyder IEEE Intelligence and Security Informatics 2016 Conference (ISI 2016), 2016 | 35 | 2016 |
| Semi-Supervised Learning for Detecting Human Trafficking H Alvari, P Shakarian, JEK Snyder Security Informatics 6, 2017 | 31 | 2017 |
| Discovering overlapping communities in social networks: A novel game-theoretic approach H Alvari, S Hashemi, A Hamzeh AI Communications 26 (2), 161-177, 2013 | 28 | 2013 |
| Identifying Community Structures in Dynamic Networks H Alvari, A Hajibagheri, G Sukthankar, K Lakkaraju Social Network Analysis and Mining (SNAM), 2016 | 26 | 2016 |
| Leveraging Community Detection for Accurate Trust Prediction G Beigi, M Jalili, H Alvari, G Sukthankar | 24 | 2014 |
| Early Identification of Pathogenic Social Media Accounts H Alvari, E Shaabani, P Shakarian IEEE Intelligence and Security Informatics (ISI) 2018, 2018 | 22 | 2018 |
| Community detection in social networks using information diffusion A Hajibagheri, H Alvari, A Hamzeh, S Hashemi 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 21 | 2012 |
| Social networks community detection using the shapley value A Hajibagheri, H Alvari, A Hamzeh, S Hashemi The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | 19 | 2012 |
| Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media H Alvari, E Shaabani, S Sarkar, G Beigi, P Shakarian Proceedings of The Web Conference (WWW'19), 2019 | 15 | 2019 |
| Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts H Alvari, P Shakarian IEEE Conference on Data Intelligence and Security, 2019 | 13 | 2019 |
| Synthetic Generators for Cloning Social Network Data AM Ali, H Alvari, A Hajibagheri, K Lakkaraju, G Sukthankar | 13 | 2015 |
| Predicting guild membership in massively multiplayer online games H Alvari, K Lakkaraju, G Sukthankar, J Whetzel International Conference on Social Computing, Behavioral-Cultural Modeling …, 2014 | 13 | 2014 |
| Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning G Beigi, A Mosallanezhad, R Guo, H Alvari, A Nou, H Liu WSDM 2020, 2020 | 11 | 2020 |
| Detection of Violent Extremists in Social Media H Alvari, S Sarkar, P Shakarian IEEE Conference on Data Intelligence and Security, 2019 | 11 | 2019 |
| Using Massively Multiplayer Online Game Data to Analyze the Dynamics of Social Interactions A Hajibagheri, G Sukhtankar, K Lakkaraju, H Alvari, R Wigand, N Agarwal Social Interactions in Virtual Worlds, 2017 | 9 | 2017 |
| Twitter Hashtag Recommendation using Matrix Factorization H Alvari https://arxiv.org/pdf/1705.10453.pdf, 2015 | 8 | 2015 |
| An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter E Shaabani, A Sadeghi-Mobarakeh, H Alvari, P Shakarian IEEE Conference on Data Intelligence and Security, 2019 | 5 | 2019 |
| A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts H Alvari, G Beigi, S Sarkar, SW Ruston, SR Corman, H Davulcu, ... IEEE Conference on Data Intelligence and Security, 2020 | 3 | 2020 |
Paulo ShakarianArizona State UniversityVerified email at asu.edu
