期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：47
期号：2
页码：116-121
DOI：10.14445/22312803/IJCTT-V47P116
出版社：Seventh Sense Research Group
摘要：As today is a trend of social networking to communicate with each other, there is a possibility of anomalous users in online networks to steal other’s personal information etc. It is necessary to understand the behavior of different users to find fake and genuine users from networks. To find anomalies in network we should understand social network analysis, different type of anomalies and different social network metrics. In this paper we have reviewed different type of social network metrics, types of anomalies and anomaly detection techniques based on graphs. This paper will help to understand social networking, social network metrics, anomaly types and anomaly detection techniques to find anomalous users from online social networks.
