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Prof. Jon Crowcroft (University of Cambridge) visits NET group

Dr. Jon Crowcroft, Marconi Professor of Communications Systems, Computer Lab, University of Cambridge, is visiting NET group during February 16-17, 2009. Prof. Crowcroft is a Fellow of the ACM, a Fellow the British Computer Society, a Fellow of the IEE/IET and the Royal Aademy of Engineering and a Fellow the IEEE.

Everyone interested is invited for the following Colloquium Talk:

Title: Online Social Networks in Real Life
Date & room: February 17, 2009, 11:00, IFI 2.101 (Goldschmidtstr. 7)
Speaker: Prof. Jon Crowcroft
Speaker's biography:
Jon Crowcroft is the Marconi Professor of Networked Systems in the Computer Laboratory, of the University of Cambridge. Prior to that he was professor of networked systems at UCL in the Computer Science Department.

He is a Fellow of the ACM, a Fellow of the British Computer Society and
a Fellow of the IEE and a Fellow of the Royal Academy of Engineering,
as well as a Fellow of the IEEE. He was a member of the IAB 96-02, and went to the first 50 IETF meetings; was general chair for the ACM SIGCOMM 95-99.

He has published 5 books - the latest is the Linux TCP/IP Implementation, published by Wiley in 2001. He is the Principle Investigator in the Computer Lab for the EU Haggle Project in DTN, and the EU Social Networks project, the EPSRC TINA project on location sensors and wireless networking of airports, and for the ITA project in next generation wireless networks.

More information is available http://www.cl.cam.ac.uk/~jac22/

Abstract:
Social networks are all the rage. Of course, people were in social networks before the advent of MySpace, Facebook, Bebo, Orkut etc. Real life social networks have been the object of many studies by social scientists, looking at anything from school ties and retirement, to judo clubs and wealth creation. Social science traditionally invovles "heavy lifting" in terms of gathering empirical data through observation, questionannaire and so forth. In recent work, we (and other researchers) have measured human mobility and co-location more directly. We realise that mining this data, alongside online-social networks where people "self-declare" their relationships and interests, and combining this with analysis of communication patterns, can yield rich results that
1. give us deeper understanding of human society
2. allow us to build better infrastructures for communication
3. may better match technology for online versus real social life.
This talk is about some of our work in this space.

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