Dynamics of Large Networks
published: Sept. 14, 2009, recorded: June 2009, views: 3269
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Emergence of the web and cyberspace gave rise to detailed traces
of human social activity. This offers great opportunities to analyze
and model behaviors of millions of people. For example, we examined
''planetary scale'' dynamics of a full Microsoft Instant Messenger
network that contains 240 million people, with more than 255 billion
exchanged messages per month, which makes it the
largest social network analyzed to date.
In this talk I will outline my past research on two aspects of the dynamics of large real-world networks: dynamics of information diffusion and cascading behavior in networks, and dynamics of the structure of time evolving networks. I will discuss how empirical findings on complex networks drive progress on theoretical models, and how better models drive advances in algorithms and applications. Last, I will outline interesting directions for future research and the field as a whole.
Download slides: kdd09_leskovec_dln_01.pdf (3.2 MB)
Download slides: kdd09_leskovec_dln_01.pptx (2.9 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !