TY - CHAP
T1 - Financial Networks and Structure of Global Financial Crime
AU - Granados, Oscar M.
AU - Vargas, Andrés
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Financial crimes are social problems that affect many different communities around the world, involving public and private organizations in diverse sectors and activities. We analyze global financial networks focusing on particular aspects of their characteristics when suspicious activities of tax fraud, corruption, and money laundering could be identified. This research provides a perspective on the presence of financial crime phenomena in global financial networks through the study of their large-scale structure. Our results reveal that suspicious activities run in small groups, and they emerge around communities of financial intermediaries, non-financial intermediaries, and offshore entities. Moreover, we find preliminary indications that these activities can play a role in deviating the degree distributions of these networks from a power-law behavior. We also discuss the temporal evolution of the networks and its significance in the identification of suspicious activities and financial crime.
AB - Financial crimes are social problems that affect many different communities around the world, involving public and private organizations in diverse sectors and activities. We analyze global financial networks focusing on particular aspects of their characteristics when suspicious activities of tax fraud, corruption, and money laundering could be identified. This research provides a perspective on the presence of financial crime phenomena in global financial networks through the study of their large-scale structure. Our results reveal that suspicious activities run in small groups, and they emerge around communities of financial intermediaries, non-financial intermediaries, and offshore entities. Moreover, we find preliminary indications that these activities can play a role in deviating the degree distributions of these networks from a power-law behavior. We also discuss the temporal evolution of the networks and its significance in the identification of suspicious activities and financial crime.
UR - http://www.scopus.com/inward/record.url?scp=85116144968&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-81484-7_8
DO - 10.1007/978-3-030-81484-7_8
M3 - Chapter
AN - SCOPUS:85116144968
T3 - Understanding Complex Systems
SP - 131
EP - 152
BT - Understanding Complex Systems
PB - Springer Science and Business Media Deutschland GmbH
ER -