How Social Networks Predict Epidemics: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 8: | Line 8: | ||
[[Category:Issue-Social Network Analysis]] | [[Category:Issue-Social Network Analysis]] | ||
[[Category:Issue-Social Network]] | [[Category:Issue-Social Network]] | ||
[[Category:Issue-Network]] | |||
Latest revision as of 01:38, 30 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).