How Social Networks Predict Epidemics: Difference between revisions
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https://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics | https://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics | ||
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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). | 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). | ||
[[Category:Issue-Epidemics]] | [[Category:Issue-Epidemics]] | ||
Revision as of 02:48, 29 June 2025
https://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics
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).