2004 ExtractingSocialNetworks

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  • http://www.cs.umass.edu/~mccallum/pubs.html
    • QUOTE: Describes an early version of an end-to-end system that automatically populates your email address book with a large social network, including "friends-of-friends," and information about people's expertise.



We present an end-to-end system that extracts a user’s social network and its memberscontact information given the user’s email inbox. The system identifies unique people in email, finds their Web presence, and automatically fills the fields of a contact address book using conditional random fields — a type of probabilistic model well-suited for such information extraction tasks. By recursively calling itself on new people discovered on the Web, the system builds a social network with multiple degrees of separation from the user. Additionally, a set of expertise-describing keywords are extracted and associated with each person. We outline the collection of statistical and learning components that enable this system, and present experimental results on the real email of two users; we also present results with a simple method of learning transfer, and discuss the capabilities of the system for address-book population, expert-finding, and social network analysis.


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 ExtractingSocialNetworksAron Culotta
Ron Bekkerman
Andrew McCallum
Extracting Social Networks and Contact Information from Email and the WebProceedings of the Conference on Email and Spamhttp://www.cs.umass.edu/~mccallum/papers/ceas04.pdf2004