Ranking the Importance of Boards of Directors

Conyon, M. J. and Muldoon, M. R. (2008) Ranking the Importance of Boards of Directors. [MIMS Preprint]

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Abstract

We measure the importance (centrality) of boards of directors using the PageRank algorithm from computational graph theory. PageRank is at the heart of the immensely successful Google web search engine and, we argue, can be naturally extended to social network settings. In this view, a board can be represented as part of an affiliation network or, in graph theoretic-terms, an undirected bipartite graph. But PageRank operates on directed graphs, so we develop a procedure to pass from an undirected bipartite graph to appropriately weighted, directed projections. Finally, we present the rankings of publicly traded US and UK firms using this method.

Item Type:	MIMS Preprint
Uncontrolled Keywords:	Corporate directorships, small worlds, random graphs
Subjects:	PACS 2010, the AIP's Physics and Astronomy Classification Scheme > 80 INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY > 89 Other areas of applied and interdisciplinary physics
Depositing User:	Dr Mark Muldoon
Date Deposited:	16 Jan 2008
Last Modified:	08 Nov 2017 18:18
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/1014

Available Versions of this Item

• Ranking the Importance of Boards of Directors. (deposited 17 Apr 2006)
  • Ranking the Importance of Boards of Directors. (deposited 16 Jan 2008) [Currently Displayed]

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