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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

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http://www.ted.com 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).

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Watch a highlight reel of the Top 10 TEDTalks at http://www.ted.com/index.php/talks/top10

Duration : 0:18:26

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How many Social Networks do you belong to? Listen as Poetri takes on these websites for CHALLENGE # 3!!!

Duration : 0:5:22

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Nicholas Christakis turns the notion of the self-directed individual on its head, and shows us the extraordinary power of Social Networks.

Duration : 0:43:33

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In this video, TuxedoJericho asks how to best propel your status on Social Networks. While there is no silver bullet to make this happen, here are three techniques to increase your clout: 1. Participate 2. Passion 3. Courtesy. These three traits will most likely increase your recognition in your favorite social network, but are not guaranteed to work. I do these things but I also exhibit my personality which some people like and some people don’t. This is a hard question to answer and ultimately, it depends on many factors. I will say, you employ the three things I mention in this video, it definitely can not hurt your situation. Hope this answered your question.

Duration : 0:4:0

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Can Social Networks ruin your relationship??
We are not professionals, and NOT trying to be o use your own judgment, please!

Duration : 0:5:5

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website blog:

http://www.jrsnyderjr.com

Online social networking communities have developed into their own social networking communities bonded online much like they are offline, beyond what the corporations who purchased the technology conceived of. A corporation’s intention is to make money but a whole new phenomenon has developed that is the germ of a social revolution. Corporations provide only the technical platform (at colocation centers) and should make reasonable money off these networks, but if the participants in these sites want some control of decisions about how these communities operate on these corporations platforms, they need to understand the nature of corporations. We will see communities develop on sites such as YouTube, MySpace, Facebook and some not yet known, and that these communities can relocate across platforms.

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Duration : 0:6:26

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We really lose our sense of privacy now that everyone is a microcelebrity.

Question: How much do you feel comfortable sharing with the world? Do you have a twitter, facebook, myspace? How much is too much?

Duration : 0:3:13

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Video courtesy of blprnt at Vimeo

http://vimeo.com/user313340

The visualization uses Twitter searches for phrases like “just landed in” “arrived at” to create a “real time” trend of movement based on social networking information. Possible uses included tracking flu outbreaks like searching for tweet related to H1N1 and then visually graphing them.

http://blog.blprnt.com/

http://processing.org/

Here’s what he says:

“I was discussing H1N1 with a bioinformatics friend of mine last weekend, and we ended up talking about ways that epidemiologists model transmission of disease. I wondered how some of the information that is shared voluntarily on Social Networks might be used to build useful models of various kinds.

I’m also interested in visualizing information that isn’t implicitly shared – but instead is inferred or suggested.

This piece looks for tweets containing the phrases ‘just landed in…’ or ‘just arrived in…’. Locations from these tweets are located using MetaCarta’s Location Finder API. The home location for the traveling users are scraped from their Twitter pages. The system then plots these voyages over time.

I’m not entirely sure where this will end up going, but I am reasonably happy with the results so far.

Built with Processing (processing.org)”

You can read more about this project on his blog – http://blog.blprnt.com/

Duration : 0:1:55

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Daniel Pinchbeck speaks in the East Village several weeks ago.

www.neovids.tv

Duration : 0:4:44

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