Discovering suspicious behavior in multilayer social networks
作者：
Highlights：
• Anomalies in social networks can signify suspicious and illegal behavior.
• Anomaly detection is a significant problem in social network analysis.
• Individuals can interact in multiple ways simultaneously forming multilayer networks.
• Introducing and studying anomaly detection problem on multilayer social networks.
• A network feature-based approach to rank the nodes according to their anomalousness.
摘要
•Anomalies in social networks can signify suspicious and illegal behavior.•Anomaly detection is a significant problem in social network analysis.•Individuals can interact in multiple ways simultaneously forming multilayer networks.•Introducing and studying anomaly detection problem on multilayer social networks.•A network feature-based approach to rank the nodes according to their anomalousness.
论文关键词：Anomaly detection,Multi-graphs,Graph mining,Online social networks,Outlier detection,Social network analysis
论文评审过程：Received 10 September 2016, Revised 22 February 2017, Accepted 1 April 2017, Available online 3 April 2017, Version of Record 13 April 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.04.001
