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Friends and neighbors on the web (2003)

Abstract
The Internet has become a rich and large repository of information about individuals. The links and text on a user's homepage to the mailing lists the user subscribes to are reflections of social interactions a user has in the real world. We devise techniques to mine this information in order to predict relationships between individuals. Further we show that some pieces of information are better indicators of social connections than others. The high quality information we discover provides a glimpse into the social life of two communities and has potential applications in automatically inferring real-world connections and discovering and labeling communities. 1.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.32.4165
Source http://www.parc.xerox.com/istl/groups/iea/papers/web10/web10.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
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