A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
This research addresses the problem of correctly relating aliases that belong to the same entity. Previous approaches focused on natural language processing and structured data, whereas in this research we analyze the local association, or "social" network in which aliases reside. The network is constructed from email data mined from the Internet. Links in the network represent web pages on which two email addresses are collocated. The problem is defined as given social network S, constructeddoi:10.1145/1134271.1134279 dblp:conf/kdd/HolzerMS05 fatcat:kkzns2kaing7xbl2yld44is7du