Difference between revisions of "Modeling Contagion Through Facebook News Feed"

From Cohen Courses
Jump to navigationJump to search
Line 9: Line 9:
 
== Summary ==
 
== Summary ==
  
This paper presents novel findings about how the action "liking a page" difuse in the [[Facebook]] social network. The authors analyzed all the Facebook pages created between Feb 19, 2008 and Aug 19, 2008, and calculated the length of the "like chain" and the "initiator" vs "follower" demographics of a page. They also developed a novel way of predicting the maximum length of a chain using zero-inflated negative binomial regression.
+
This paper presents novel findings about how the action "liking a Page" difuse in the [[Facebook]] social network. The authors analyzed all the Facebook Pages created between Feb 19, 2008 and Aug 19, 2008, and calculated the length of the "like chain" and the "initiator" vs "follower" demographics of a Page. They also developed a novel way of predicting the maximum length of a "like chain" using zero-inflated negative binomial regression.
 +
 
 +
== Discussion ==
 +
 
 +
The authors clustered the fans of certain Facebook Page by connectivity (there's a friend path between any two fans in the same cluster), and claimed that in most clusters, 14% - 18% of the nodes (people) are chain initiators (they liked the Page by searching for it themselves). This percentage is much higher than what others have observed in other social norms. Also, The maximum length of a "like chain" is much longer than the word-of-mouth case, with 86.4% of the "like chains" have at least 4 nodes, and the longest chain being 82-node long.

Revision as of 22:18, 26 September 2012

Citation

Eric Sun, Itamar Rosenn, Cameron A. Marlow and Thomas M. Lento. Gesundheit! Modeling Contagion through Facebook News Feed, AAAI 2009.

Online version

External link

Summary

This paper presents novel findings about how the action "liking a Page" difuse in the Facebook social network. The authors analyzed all the Facebook Pages created between Feb 19, 2008 and Aug 19, 2008, and calculated the length of the "like chain" and the "initiator" vs "follower" demographics of a Page. They also developed a novel way of predicting the maximum length of a "like chain" using zero-inflated negative binomial regression.

Discussion

The authors clustered the fans of certain Facebook Page by connectivity (there's a friend path between any two fans in the same cluster), and claimed that in most clusters, 14% - 18% of the nodes (people) are chain initiators (they liked the Page by searching for it themselves). This percentage is much higher than what others have observed in other social norms. Also, The maximum length of a "like chain" is much longer than the word-of-mouth case, with 86.4% of the "like chains" have at least 4 nodes, and the longest chain being 82-node long.