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BEGIN:VEVENT
UID:270@lincs.fr
DTSTART;TZID=Europe/Paris:20131113T140000
DTEND;TZID=Europe/Paris:20131113T143000
DTSTAMP:20170328T133911Z
URL:https://www.lincs.fr/events/reliable-scalable-account-correlation-acro
 ss-large-social-networks/
SUMMARY:Reliable and Scalable Account Correlation Across Large Social
 Networks
DESCRIPTION:There is lot of interest and concern\, both in research and
 industry\, about the potential for correlating user accounts
 across\nmultiple online social networking sites. In this paper\, we focus
 on the challenge of designing account correlation schemes that
 achieve\nhigh reliability\, i.e.\, low error rates\, in matching accounts\,
 even when applied in large-scale networks with hundreds of millions of
 user\naccounts. We begin by identifying four important properties â
 Availability\, Consistency\, non-Impersonability\, and
 Discriminability\n(ACID) â that features used for matching accounts need
 to satisfy inorder to achieve reliable and scalable account correlation.
 Even\nthough public attributes like name\, location\, profile photo\, and
 friends do not satisfy all the ACID properties\, we show how it
 is\npossible to leverage multiple attributes to build SCALABLE- LINKER\, a
 reliable and scalable account correlator. We evaluate the performance\nof
 SCALABLE-LINKER in correlating accounts from Twitter and Facebook\, two of
 the largest real-world social networks. Our tests using ground\ntruth data
 about correlated accounts\, show that while SCALABLE-LINKER can correlate
 as high as 89% of accounts (true positive rate) with\nless than 1% false
 positive rate\, when evaluated over small thousand node subsets of Facebook
 accounts\, the true positive rate drops to 21%\n(keeping the 1% false
 positive rate)\, when the evaluation scale to include all the more than
 billion Facebook accounts. Our findings\nreflect the potential as well as
 the limits of reliably correlating accounts at scale using only public
 attributes of accounts.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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TZID:Europe/Paris
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BEGIN:STANDARD
DTSTART:20131027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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