Link analysis for Web spam detection
ACM Transactions on the Web (TWEB)
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Uncovering social spammers: social honeypots + machine learning
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
An analysis of social network-based Sybil defenses
Proceedings of the ACM SIGCOMM 2010 conference
The effects of restrictions on number of connections in OSNs: a case-study on twitter
WOSN'10 Proceedings of the 3rd conference on Online social networks
Effects of a soft cut-off on node-degree in the Twitter social network
Computer Communications
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We analyze the strategies employed by contemporary spammers in Online Social Networks (OSNs) by identifying a set of spam-accounts in Twitter and monitoring their link-creation strategies. Our analysis reveals that spammers adopt intelligent 'collaborative' strategies of link-formation to avoid detection and to increase the reach of their generated spam, such as forming 'spam-farms' and creating large number of links with targeted legitimate users. The observations are verified through the analysis of a giant 'spam-farm' embedded within the Twitter OSN.