# How social networks predict epidemics

- Institution: TED
- Department: TED@Cannes
- Speaker: Nicholas Christakis
- Year: 2010
- Level: For everyone
- Language: English
- Subjects: Medicine and health
- Source: [TED](https://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics)
- Licence: [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) (Non-commercial use only, and no changed versions.)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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).

## Lectures

1. [How social networks predict epidemics](https://invisiblenetwork.ai/learn/ted/nicholas_christakis_how_social_networks_predict_epidemics/f9ed63f19589), 18 min (TED's player)
