期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2235&2236
页码：141-144
出版社：Newswood and International Association of Engineers
摘要：The impact on the development of the national
economy is mostly dependent on the flow of money in the
country. The suspicious transactions of money within financial
institutions affect the national economic system and
compromise the impression of country’s reputation.
Identifying an individual suspicious transaction and individual
suspicious customers within transactions are evident by using
basic statistical rules. Other than such traditional rules, this
paper proposes a model that discusses the identifications of
association and relationships within transactions and
customers using Social Networks Analysis (SNA). With the
help of this model, groups and gang mafia can be identified
who mainly play a vibrant role in money laundering activities.
