TY - GEN
T1 - A social network analysis approach to detecting suspicious online financial activities
AU - Tang, Lei
AU - Barbier, Geoffrey
AU - Liu, Huan
AU - Zhang, Jianping
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Crime detection
KW - Social network analysis
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=78650363962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650363962&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12079-4_49
DO - 10.1007/978-3-642-12079-4_49
M3 - Conference contribution
AN - SCOPUS:78650363962
SN - 3642120784
SN - 9783642120787
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 390
EP - 397
BT - Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
T2 - 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
Y2 - 30 March 2010 through 31 March 2010
ER -