| Measuring User Influence in Twitter: The Million Follower Fallacy M Cha, H Haddadi, F Benevenuto, PK Gummadi ICWSM 10, 10-17, 2010 | 4601* | 2010 |
| I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system M Cha, H Kwak, P Rodriguez, YY Ahn, S Moon Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, 1-14, 2007 | 2164 | 2007 |
| On the evolution of user interaction in facebook B Viswanath, A Mislove, M Cha, KP Gummadi Proceedings of the 2nd ACM workshop on Online social networks, 37-42, 2009 | 1863 | 2009 |
| Characterizing user behavior in online social networks F Benevenuto, T Rodrigues, M Cha, V Almeida Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, 49-62, 2009 | 1171 | 2009 |
| A measurement-driven analysis of information propagation in the flickr social network M Cha, A Mislove, KP Gummadi Proceedings of the 18th international conference on World wide web, 721-730, 2009 | 1076 | 2009 |
| Detecting rumors from microblogs with recurrent neural networks J Ma, W Gao, P Mitra, S Kwon, BJ Jansen, KF Wong, M Cha AAAI Press, 2016 | 968 | 2016 |
| Prominent features of rumor propagation in online social media S Kwon, M Cha, K Jung, W Chen, Y Wang 2013 IEEE 13th international conference on data mining, 1103-1108, 2013 | 794 | 2013 |
| Analyzing the video popularity characteristics of large-scale user generated content systems M Cha, H Kwak, P Rodriguez, YY Ahn, S Moon IEEE/ACM Transactions on networking 17 (5), 1357-1370, 2009 | 601 | 2009 |
| Comparing and combining sentiment analysis methods P Gonçalves, M Araújo, F Benevenuto, M Cha Proceedings of the first ACM conference on Online social networks, 27-38, 2013 | 517 | 2013 |
| Watching television over an IP network M Cha, P Rodriguez, J Crowcroft, S Moon, X Amatriain Proceedings of the 8th ACM SIGCOMM conference on Internet measurement, 71-84, 2008 | 357 | 2008 |
| Rumor detection over varying time windows S Kwon, M Cha, K Jung PloS one 12 (1), e0168344, 2017 | 352 | 2017 |
| Depressive moods of users portrayed in Twitter M Park, C Cha, M Cha Proceedings of the 18th ACM International Conference on Knowledge Discovery …, 2012 | 261 | 2012 |
| Characterizing social cascades in flickr M Cha, A Mislove, B Adams, KP Gummadi Proceedings of the first workshop on Online social networks, 13-18, 2008 | 247 | 2008 |
| Emoticon style: Interpreting differences in emoticons across cultures J Park, V Barash, C Fink, M Cha Proceedings of the international AAAI conference on web and social media 7 …, 2013 | 226 | 2013 |
| The world of connections and information flow in twitter M Cha, F Benevenuto, H Haddadi, K Gummadi IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2012 | 225 | 2012 |
| Media landscape in Twitter: A world of new conventions and political diversity J An, M Cha, K Gummadi, J Crowcroft Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011 | 221 | 2011 |
| Cross-cultural comparison of nonverbal cues in emoticons on twitter: Evidence from big data analysis J Park, YM Baek, M Cha Journal of Communication 64 (2), 333-354, 2014 | 177 | 2014 |
| On word-of-mouth based discovery of the web T Rodrigues, F Benevenuto, M Cha, K Gummadi, V Almeida Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement …, 2011 | 172 | 2011 |
| Perception differences between the depressed and non-depressed users in twitter M Park, D McDonald, M Cha Proceedings of the international AAAI conference on web and social media 7 …, 2013 | 165 | 2013 |
| Characterizing user navigation and interactions in online social networks F Benevenuto, T Rodrigues, M Cha, V Almeida Information Sciences 195, 1-24, 2012 | 159 | 2012 |
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSmpi-sws.org의 이메일 확인됨
