Name: How social networks predict epidemics
Uploaded: 2010-09-16T08:55:00Z
Duration: 17 min 37 s
Description: 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).

How social networks predict epidemics

Human social networks, stretching out through family, friends, and colleagues, shape how everything from diseases to ideas spread. By focusing on central individuals—those with the most connections—scientists can detect epidemics up to 16 days earlier, as shown during the H1N1 flu outbreak at Harvard. This insight extends beyond germs to any behavior or innovation that spreads through person-to-person influence. Harnessing these patterns can make interventions and warnings faster and more efficient than ever before.