Online social networks: threats and solutions M Fire, R Goldschmidt, Y Elovici IEEE Communications Surveys & Tutorials 16 (4), 2019-2036, 2014 | 455 | 2014 |
Link prediction in social networks using computationally efficient topological features M Fire, L Tenenboim, O Lesser, R Puzis, L Rokach, Y Elovici 2011 IEEE third international conference on privacy, security, risk and …, 2011 | 253 | 2011 |
Over-optimization of academic publishing metrics: observing Goodhart’s Law in action M Fire, C Guestrin GigaScience 8 (6), giz053, 2019 | 245 | 2019 |
Friend or foe? Fake profile identification in online social networks M Fire, D Kagan, A Elyashar, Y Elovici Social Network Analysis and Mining 4, 1-23, 2014 | 145 | 2014 |
Strangers intrusion detection-detecting spammers and fake profiles in social networks based on topology anomalies M Fire, G Katz, Y Elovici Human journal 1 (1), 26-39, 2012 | 142 | 2012 |
Entity matching in online social networks O Peled, M Fire, L Rokach, Y Elovici 2013 International Conference on Social Computing, 339-344, 2013 | 110 | 2013 |
Computationally efficient link prediction in a variety of social networks M Fire, L Tenenboim-Chekina, R Puzis, O Lesser, L Rokach, Y Elovici ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-25, 2014 | 102 | 2014 |
Organization mining using online social networks M Fire, R Puzis Networks and Spatial Economics 16 (2), 545-578, 2016 | 94 | 2016 |
How many makes a crowd? On the evolution of learning as a factor of community coverage Y Altshuler, M Fire, N Aharony, Y Elovici, A Pentland Social Computing, Behavioral-Cultural Modeling and Prediction: 5th …, 2012 | 82* | 2012 |
Zooming into video conferencing privacy D Kagan, GF Alpert, M Fire IEEE Transactions on Computational Social Systems 11 (1), 933-944, 2023 | 79 | 2023 |
Homing socialbots: intrusion on a specific organization's employee using socialbots A Elyashar, M Fire, D Kagan, Y Elovici Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 78 | 2013 |
Incremental learning with accuracy prediction of social and individual properties from mobile-phone data Y Altshuler, N Aharony, M Fire, Y Elovici, A Pentland 2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012 | 76 | 2012 |
Predicting student exam’s scores by analyzing social network data M Fire, G Katz, Y Elovici, B Shapira, L Rokach Active Media Technology: 8th International Conference, AMT 2012, Macau …, 2012 | 75 | 2012 |
Ethical considerations when employing fake identities in online social networks for research Y Elovici, M Fire, A Herzberg, H Shulman Science and engineering ethics 20, 1027-1043, 2014 | 67 | 2014 |
Data mining opportunities in geosocial networks for improving road safety M Fire, D Kagan, R Puzis, L Rokach, Y Elovici 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 61 | 2012 |
Method for detecting spammers and fake profiles in social networks Y Elovici, F Michael, G Katz US Patent 9,659,185, 2017 | 58 | 2017 |
Trade-offs in social and behavioral modeling in mobile networks Y Altshuler, M Fire, N Aharony, Z Volkovich, Y Elovici, A Pentland Social Computing, Behavioral-Cultural Modeling and Prediction: 6th …, 2013 | 53 | 2013 |
Generic anomalous vertices detection utilizing a link prediction algorithm D Kagan, Y Elovichi, M Fire Social Network Analysis and Mining 8, 1-13, 2018 | 52 | 2018 |
Link prediction in highly fractional data sets M Fire, R Puzis, Y Elovici Handbook of computational approaches to counterterrorism, 283-300, 2013 | 46 | 2013 |
Using data science to understand the film industry’s gender gap D Kagan, T Chesney, M Fire Palgrave Communications 6 (1), 1-16, 2020 | 45 | 2020 |