The social networks provide a way for users to maintain contact with their friends. Increasing of the social network's popularity allows all of them to collect large amounts of personal information about their users. Unfortunately, this information wealth as well as its ease to access users' information could attract malicious group's attention. That's why these networks have been invaded by spammers while, there have been a lot of work to diagnose and fix them. With regard to this issue that spammers look for new ways to target these networks every day, there have being continuous actions to identify spammers and malicious email. The aim of this paper is to examine previous works in the field of spam detection in social networks.
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Eshraqi et al. (2015) studied this question.
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