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کامپیوتر و شبکه::
دنیای واقعی
Highlighting various real-world application scenarios where the social network anomaly detection methods have been used.
In this section, we present some of the specific real-world ap- plication domains where the social network anomaly detection methods have been used.
The real-world scenarios that can be represented with bipartite networks include users versus files upload/download relationships in point-to-point networks, stocks versus traders network in financial stock mar- kets, and authors versus conferences relationships in publication networks of different research areas.
Therefore, explor- ing and identifying the real-world applications for anomalies in such networks, and developing definitions and algorithms for such anomalies are promising research directions.
the huge size of the networks, the selection and extraction of a suitable feature space that can map the real-world behavior of interest are challenging tasks in the anomaly detection process.
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