Dienstag, 17. Dezember 2013

EDGE.org: The science of social connections

Nicholas Christakis talking about Networks and how they influence our lives.

"The part of human nature that I'd like to talk about today is that part of our human nature that is relevant to our interactions with others. There's been a phenomenal amount of work taking place in the last ten years, certainly, and even in the last year or two that seeks to understand how we interact with each other and how we assemble ourselves into social networks."

If video does not load, click here

HEADCON '13: Nicholas Christakis - The Science of Social Connections from Edge Foundation on Vimeo.

Montag, 9. September 2013

The flavor connection

This combines many things I like: cool data, a creative idea, a nice infographic. Check this out: from the Scientific American: a network of flavours describes our food.

Link to the article.

This is the original article by Yong-Yeol Ahn, Sebastian E. Ahnert, James P. Bagrow & Albert-László Barabási. Published in Nature Scientific Reports, one of the most often downloaded Nature SR papers of all time.

Paper in Scientific Reports

Freitag, 18. Januar 2013

Nicholas Christakis on Social Networks

Nicholas Christakis from Harvard talking about connections between Social Networks and health. Are your friends making you drink, smoke, gain weight? Well, you know... watch the video!


Nicholas Christakis - On Health and Social Networks from Cambridge Nights on Vimeo.

Montag, 10. Dezember 2012

The strength of weak ties II: Response

The Facebook data team responds to the "filter bubble" topic, and publishes insights about the diffusion of information in Facebook.

"Today, Facebook is publishing a study that disproves some hoary conventional wisdom about the Web. According to this new research, the online echo chamber doesn’t exist."

Read the entire story (highly recommended) here.

The strength of weak ties I: The online "filter bubble"

Related to todays lecture on the strength of weak ties: Eli Pariser talking about hidden filters and algorithms used to select content in social media like Facebook.