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In recent years, many social network services have made lots of business models. However, it has big weakness related with personal information spill or attacks from spammers. There are many conventional approaches about spammer detection. Almost the whole studies suggest solutions by using vertex degrees or Local Clustering Coefficient. However, they have been caused false positive results. In other...
Prodigious explosion of social network services may trigger new business models, there trails, however, negative aspects such as personal information spill or spamming as much. Amongst conventional spam detection approaches, the studies based on vertex Degrees have been sacrificed false negative results so that normal vertices can be specified as spammer ones. In this paper, we propose a novel approach...
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