An advanced network visualization system for financial crime detection

Author

Didimo, Walter ; Liotta, Giuseppe ; Montecchiani, Fabrizio ; Palladino, Pietro

Author_Institution

Univ. of Perugia, Perugia, Italy

fYear

2011

fDate

1-4 March 2011

Firstpage

203

Lastpage

210

Abstract

We present a new system, VISFAN, for the visual analysis of financial activity networks. It supports the analyst with effective tools to discover financial crimes, like money laundering and frauds. If compared with other existing systems and methodologies for the analysis of criminal networks, VISFAN presents the following main novelties: (i) It combines bottom-up and top-down interaction paradigms for the visual exploration of complex networks; (ii) It makes it possible to mix automatic and manual clustering; (iii) It allows the analyst to interactively customize the dimensions of each cluster region and to apply different geometric constraints on the layout. VISFAN also implements several tools for social network analysis other than clustering. For example, it computes several indices to measure the centrality of each actor in the network.

Keywords

data visualisation; financial data processing; public administration; VISFAN; advanced network visualization system; bottom-up interaction paradigm; financial activity network; financial crime detection; frauds; money laundering; social network analysis; top-down interaction paradigm; Algorithm design and analysis; Clustering algorithms; Companies; Layout; Social network services; Terrorism; Visualization; Crime Detection; Financial Visualization; Graph Clustering; Graph Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Visualization Symposium (PacificVis), 2011 IEEE Pacific

Conference_Location

Hong Kong

Print_ISBN

978-1-61284-935-5

Electronic_ISBN

978-1-61284-933-1

Type

conf

DOI

10.1109/PACIFICVIS.2011.5742391

Filename

5742391