Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multiple Accounts Detection on Facebook Using Semi-Supervised Learning
  on Graphs   In social networks, a single user may create multiple accounts to spread his
/ her opinions and to influence others, by actively comment on different news
pages. It would be beneficial to both social networks and their communities, to
demote such abnormal activities, and the first step is to detect those
accounts. However, the detection is challenging, because these accounts may
have very realistic names and reasonable activity patterns. In this paper, we
investigate three different approaches, and propose using graph embedding
together with semi-supervised learning, to predict whether a pair of accounts
are created by the same user. We carry out extensive experimental analyses to
understand how changes in the input data and algorithmic parameters /
optimization affect the prediction performance. We also discover that local
information have higher importance than the global ones for such prediction,
and point out the threshold leading to the best results. We test the proposed
approach with 6700 Facebook pages from the Middle East, and achieve the
averaged accuracy at 0.996 and AUC (area under curve) at 0.952 for users with
the same name; with the U.S. 2016 election dataset, we obtain the best AUC at
0.877 for users with different names.

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The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph