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<p>It is generally easier to disambiguate people with uncommon names than people with common  names; in the extreme case a name can be so uncommon that it is used by only a single person  on the planet, and no disambiguation is necessary. This thesis explores the use of uncommon  names to correlate identity records stored in DoD411 with user profile pages stored on three  popular social network sites: LinkedIn, Facebook, and MySpace. After grounding the approach  in theory, a working correlation system is presented. We then statistically sample the results  of the correlation to infer statistics about the use of social network sites by DoD personnel.  Among the results that we present are the percentage of DoD personnel that have Facebook  pages; the ready availability of information about DoD families from information that DoD  personnel have voluntarily released on social network sites; and the availability of information  related to specific military operations and unit deployments provided by DoD members and  their associates on social network sites. We conclude with a brief analysis of the privacy and  policy implications of this work.
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<br>Subjects: Computer science; Software engineering; Communication</div>
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Phillips, Kenneth Nathan</div>
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