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Proceedings Paper

Visual analysis and exploration of complex corporate shareholder networks
Author(s): Tatiana Tekušová; Jörn Kohlhammer
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Paper Abstract

The analysis of large corporate shareholder network structures is an important task in corporate governance, in financing, and in financial investment domains. In a modern economy, large structures of cross-corporation, cross-border shareholder relationships exist, forming complex networks. These networks are often difficult to analyze with traditional approaches. An efficient visualization of the networks helps to reveal the interdependent shareholding formations and the controlling patterns. In this paper, we propose an effective visualization tool that supports the financial analyst in understanding complex shareholding networks. We develop an interactive visual analysis system by combining state-of-the-art visualization technologies with economic analysis methods. Our system is capable to reveal patterns in large corporate shareholder networks, allows the visual identification of the ultimate shareholders, and supports the visual analysis of integrated cash flow and control rights. We apply our system on an extensive real-world database of shareholder relationships, showing its usefulness for effective visual analysis.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6809, Visualization and Data Analysis 2008, 68090F (28 January 2008); doi: 10.1117/12.761555
Show Author Affiliations
Tatiana Tekušová, Fraunhofer IGD (Germany)
Jörn Kohlhammer, Technical Univ. of Darmstadt (Germany)


Published in SPIE Proceedings Vol. 6809:
Visualization and Data Analysis 2008
Katy Börner; Matti T. Gröhn; Jinah Park; Jonathan C. Roberts, Editor(s)

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