| 22 September |
How social networks predict epidemics 1/2 |
Title : Nicholas Christakis how social networks predict epidemics 1/2
Title :
Nicholas Christakis: How social networks predict epidemics
Original website : http://www.TED.com
http://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics.html
Description :
After mapping humans’ intricate Social Networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used to detect epidemics earlier than ever, from the spread of innovative ideas to risky behaviors to viruses (like H1N1).
Nicholas Christakis explores how the large-scale, face-to-face social networks in which we are embedded affect our lives, and what we can do to take advantage of this fact
Full biography :
http://www.ted.com/speakers/nicholas_christakis.html
Video source file :
http://video.ted.com/talks/podcast/NicholasChristakis_2010S_480.mp4
Video Under Creative Commons License : Attribution-Noncommercial-No Derivative Works 3.0 Unported
http://creativecommons.org/licenses/by-nc-nd/3.0/
Background music : Green Sun – The First Birth
http://www.jamendo.com/en/track/302165
by Tunguska Electronic Music Society
http://www.jamendo.com/en/artist/Tunguska_Chillout_Grooves_vol.1
Album : Tunguska Chillout Grooves vol. 2
http://www.jamendo.com/en/album/41217
Song under Creative Commons License : Attribution-NoDerivs 3.0 Unported
http://creativecommons.org/licenses/by-nd/3.0/
http://creativecommons.org/licenses/by-nd/3.0/legalcode
Duration : 0:9:51
http://www.ted.com After mapping humans’ intricate
http://www.ted.com We’re all embedded in vast