%0 Conference Paper
%B Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
%D 2015
%T The layered structure of company share networks
%A Andrea Romei
%A Salvatore Ruggieri
%A Franco Turini
%X We present a framework for the analysis of corporate governance problems using network science and graph algorithms on ownership networks. In such networks, nodes model companies/shareholders and edges model shares owned. Inspired by the widespread pyramidal organization of corporate groups of companies, we model ownership networks as layered graphs, and exploit the layered structure to design feasible and efficient solutions to three key problems of corporate governance. The first one is the long-standing problem of computing direct and indirect ownership (integrated ownership problem). The other two problems are introduced here: computing direct and indirect dividends (dividend problem), and computing the group of companies controlled by a parent shareholder (corporate group problem). We conduct an extensive empirical analysis of the Italian ownership network, which, with its 3.9M nodes, is 30× the largest network studied so far.
%B Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
%I IEEE
%G eng
%R 10.1109/DSAA.2015.7344809