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      The Network of Global Corporate Control

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          Abstract

          The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy makers.

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          Most cited references40

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          Emergence of scaling in random networks

          Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            Complex systems: ecology for bankers.

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              Economic networks: the new challenges.

              The current economic crisis illustrates a critical need for new and fundamental understanding of the structure and dynamics of economic networks. Economic systems are increasingly built on interdependencies, implemented through trans-national credit and investment networks, trade relations, or supply chains that have proven difficult to predict and control. We need, therefore, an approach that stresses the systemic complexity of economic networks and that can be used to revise and extend established paradigms in economic theory. This will facilitate the design of policies that reduce conflicts between individual interests and global efficiency, as well as reduce the risk of global failure by making economic networks more robust.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                26 October 2011
                : 6
                : 10
                : e25995
                Affiliations
                [1]Chair of Systems Design, ETH Zurich, Zurich, Switzerland
                Universidad Veracruzana, Mexico
                Author notes

                Conceived and designed the experiments: SB. Analyzed the data: SV JBG. Wrote the paper: SB SV JBG.

                Article
                PONE-D-11-05962
                10.1371/journal.pone.0025995
                3202517
                22046252
                6386895e-837f-4ef2-9da6-22823ce2d43a
                Vitali et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 29 March 2011
                : 15 September 2011
                Page count
                Pages: 6
                Categories
                Research Article
                Mathematics
                Applied Mathematics
                Complex Systems
                Physics
                Interdisciplinary Physics
                Statistical Mechanics
                Social and Behavioral Sciences
                Economics
                Industrial Organization
                Structure of Markets
                Microeconomics
                Spatial Economic Analysis

                Uncategorized
                Uncategorized

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