Abstract
Social network analysis techniques can be applied to help detect financial crimes. We discuss the relationship between detecting financial crimes and the social web, and use select case studies to illustrate the potential for applying social network analysis techniques. With the increasing use of online financing services and online financial activities, it becomes more challenging to find suspicious activities among massive numbers of normal and legal activities. © Springer-Verlag Berlin Heidelberg 2010.
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CITATION STYLE
Tang, L., Barbier, G., Liu, H., & Zhang, J. (2010). A social network analysis approach to detecting suspicious online financial activities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6007 LNCS, pp. 390–397). https://doi.org/10.1007/978-3-642-12079-4_49
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