Meeyoung Cha, Max Planck Institute

Location :

Thomson Paris Lab
46, Quai A. Le Gallo
92648 Boulogne Cedex
Nearest metro station: "Boulogne Pont de Saint Cloud" (line 10).
Look for  directions  with mappy.fr.

Please register in advance!
All are welcome to attend the sessions and stay for lunch, but we would like to know in advance to help organizing the event.
Please contact augustin.chaintreau@thomson.net or venus.apovo@thomson.net to announce that you are coming. 
Thank you.

Abstract :

Title: Characterizing Social Cascades in Flickr

Abstract:

Online social networking sites like MySpace and Flickr have become a popular way to share and 
disseminate content.  Their massive popularity has led to the viral marketing of content, products, and 
political campaigns on the sites themselves. Despite the excitement, the precise mechanisms 
by which information is exchanged over these networks are not well understood.

In this talk, I will describe how information disseminates through social links in online social 
networks. Using real traces of Flickr, I will show that such propagation is an important factor in the 
dissemination of content. I will also talk about how epidemiology or the spread of disease in offline 
human contact network can be used to better understand such online spreading. 

bio:

Meeyoung Cha is a post-doctoral researcher at Max Planck Institute for Software Systems (MPI-
SWS). She received a Ph.D. degree in Computer Science from KAIST in 2008. Meeyoung's research 
interests are in the design and analysis of large-scale networked systems. Her recent work has 
focussed on multimedia streaming systems and online social networks. She won the best paper 
award at ACM IMC 2007 for her work characterizing the YouTube workload.

Paper available at 
http://an.kaist.ac.kr/%7Emycha/docs/wosn31-cha.pdf

Slide available at
http://an.kaist.ac.kr/%7Emycha/docs/wosn31-cha.ppt

Host :

Augustin Chaintreau