|
Bernardo A. Huberman, Daniel M. Romero and Fang Wu
Social Computing Laboratory, HP Labs
Abstract
Scholars, advertisers and political activists see massive online social
networks as a representation of social interactions that can be used
to study the propagation of ideas, social bond dynamics and viral marketing,
among others. But the linked structures of social networks do
not reveal actual interactions among people. Scarcity of attention and
the daily rythms of life and work makes people default to interacting
with those few that matter and that reciprocate their attention. A
study of social interactions within Twitter reveals that the driver of
usage is a sparse and hidden network of connections underlying the
“declared” set of friends and followers.
Full paper in PDF format
|
 |
|
Printable version
