Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Matching Entities Across Online Social Networks   Online Social Networks (OSNs), such as Facebook and Twitter, have become an
integral part of our daily lives. There are hundreds of OSNs, each with its own
focus in that each offers particular services and functionalities. Recent
studies show that many OSN users create several accounts on multiple OSNs using
the same or different personal information. Collecting all the available data
of an individual from several OSNs and fusing it into a single profile can be
useful for many purposes. In this paper, we introduce novel machine learning
based methods for solving Entity Resolution (ER), a problem for matching user
profiles across multiple OSNs. The presented methods are able to match between
two user profiles from two different OSNs based on supervised learning
techniques, which use features extracted from each one of the user profiles. By
using the extracted features and supervised learning techniques, we developed
classifiers which can perform entity matching between two profiles for the
following scenarios: (a) matching entities across two OSNs; (b) searching for a
user by similar name; and (c) de-anonymizing a user's identity.
  The constructed classifiers were tested by using data collected from two
popular OSNs, Facebook and Xing. We then evaluated the classifiers'
performances using various evaluation measures, such as true and false positive
rates, accuracy, and the Area Under the receiver operator Curve (AUC). The
constructed classifiers were evaluated and their classification performance
measured by AUC was quite remarkable, with an AUC of up to 0.982 and an
accuracy of up to 95.9% in identifying user profiles across two OSNs.

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The categories of this paper are: math
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The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: q-bio
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The categories of this paper are: hep-th
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The categories of this paper are: econ
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-an