Assistant Professor
Graduate School of Culture Technology, KAIST
373-1 Guseong-Dong, Yuseong-Gu
Daejeon 305-705, Republic of Korea
meeyoungcha (at) kaist.edu
My research focus is on dealing with complex networking systems that involve large amounts of data and users. My long-term goal is to understand the characteristics and the design/business potential of real-world services including IPTV, video-on-demand, and online social networks. I apply theories and measurement frameworks from epidemiology, statistics, and distributed systems.
I am collaborating with Krishna Gummadi on exciting online social network projects.
Selected Publications
Measuring User Influence in Twitter: The Million Follower Fallacy
Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and Krishna Gummadi
In Proc. of International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010
*featured in the ReadWriteWeb blog link and picked up by the New York Times link*
*introduced in the Harvard Business Review's technical blog link
Watching Television Over an IP Network
Meeyoung Cha, Pablo Rodriguez, Jon Crowcroft, Sue Moon, and Xavier Amatrianin
In Proc. of Usenix/ACM SIGCOMM Internet Measurement Conference (IMC), October 2008