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TEDTalks : Nicholas Christakis - How Social Networks Predict Epidemics

Author: Films for the Humanities & Sciences (Firm); Films Media Group.; TED Conferences LLC.
Publisher: New York, N.Y. : Films Media Group, [2012], ©2010.
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Database:WorldCat
Summary:
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).
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Genre/Form: Educational films
Internet videos
Videorecording
Named Person: Nicholas A Christakis
Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Films for the Humanities & Sciences (Firm); Films Media Group.; TED Conferences LLC.
OCLC Number: 829301605
Notes: Encoded with permission for digital streaming by Films Media Group on October 07, 2012.
Films on Demand is distributed by Films Media Group for Films for the Humanities & Sciences, Cambridge Educational, Meridian Education, and Shopware.
Target Audience: 9 & up.
Description: 1 online resource (1 video file (18 min.)) : sd., col.
Contents: Social Contagions (2:53) --
Adoption Curve (3:20) --
Friendship Paradox (2:18) --
Testing the Friendship Paradox (1:01) --
Practical Applications of Human Networks (1:07) --
Mapping Interpersonal Influence (1:39) --
Herd Immunity (2:06) --
Massive Passive Information (2:21) --
Computational Social Science (0:45) --
Credits: TEDTalks: Nicholas Christakis --
How Social Networks Predict Epidemics (0:06)
Other Titles: How Social Networks Predict Epidemics
Nicholas Christakis
Nicholas Christakis - How Social Networks Predict Epidemics
Responsibility: TED Conferences LLC.

Abstract:

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).

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