Financial Network Analytics Ltd. (FNA)
Samantha Cook is currently the Chief Scientist at FNA, a software and research company devoted to network analysis. Since finishing her PhD in Statistics at Harvard University she has worked both a professor at Columbia University (New York) and Universitat Pompeu Fabra (Barcelona) and in the industry as Quantitative Analyst at Google Research in New York. Samantha has published in statistics as well as psychology, public health, finance, and economics, and is especially interested in statistical computation and graphics.
This paper introduces the topic of network visualization to the journal by proposing the use of a combination of data reduction techniques and overlays that allow detection of large-scale patterns and outlier activity.
This paper considers a network of cross-border SWIFT message flows where nodes are the countries in which the sending and receiving banks are domiciled. The authors analyze how the payment flows reflect or predict various aspects of the real economies.