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\nNicholas Christakis: How social networks predict epidemics\n

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\n\nPublisher:\n\nTED Talks\n\n\n
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\nAfter 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...\nAfter 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).\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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17:47
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Grade
12th - Higher Ed
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Subjects
Science
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Media Type
Instructional Videos
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Source:
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\nTED Talks\n\n
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Date
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2010
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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medicine, friendship, society, human population, relationships
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Additional Tags

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humanity, health, unconventional explanations, science, meme, bold predictions, medicine without borders, stern warnings, social network, friendship paradox, interpersonal influence, herd immunity, phone company, traffic jam, early detection, party host, random sample, shaped curve, central individuals, social phenomena, predict epidemics, early warning, impending epidemic, flu epidemic, truckers purchases, friends group, random people, random, curve, warning, dots, phenomena, central, fewer, node, epidemic
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Classroom Considerations

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Video is ad-free
Discusses sensitive social issues
Viewer discretion is advised. Content may not be suitable for people of 12 years or younger.
Usage Rights: None provided
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Nicholas Christakis: How social networks predict epidemics\" href=\"/subscription/new\">\"Nicholas\n\n
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