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The corporate boards networks

Author

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  • Caldarelli, Guido
  • Catanzaro, Michele

Abstract

In this work we apply network theory to detect in a quantitative fashion some of the characters of the system composed by companies and their boards of directors. Modelling this as a bipartite graph, we can derive two networks (one for the companies and one for the directors) and apply to them the standard graph analysis instruments. The emerging picture shows an environment where the exchange of information and mutual influences, conveyed by interlocks between boards, is predominant. Such a result should be taken into account when modelling this system.

Suggested Citation

  • Caldarelli, Guido & Catanzaro, Michele, 2004. "The corporate boards networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 98-106.
    • Handle: RePEc:eee:phsmap:v:338:y:2004:i:1:p:98-106
    DOI: 10.1016/j.physa.2004.02.030
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    Citations

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    Cited by:

    1. Piccardi, Carlo & Calatroni, Lisa & Bertoni, Fabio, 2010. "Communities in Italian corporate networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5247-5258.
    2. Marco Fattore & Rosanna Grassi, 2014. "Measuring dynamics and structural change of time-dependent socio-economic networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1821-1834, July.
    3. Eelke M Heemskerk & Fabio Daolio & Marco Tomassini, 2013. "The Community Structure of the European Network of Interlocking Directorates 2005–2010," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    4. Milaković, Mishael & Raddant, Matthias & Birg, Laura, 2009. "Persistence of a network core in the time evolution of interlocking directorates," Economics Working Papers 2009-10, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Ettore Croci & Rosanna Grassi, 2014. "The economic effect of interlocking directorates in Italy: new evidence using centrality measures," Computational and Mathematical Organization Theory, Springer, vol. 20(1), pages 89-112, March.
    6. Leonardo Bargigli & Renato Giannetti, 2015. "The Italian Corporate System: SOEs, Private Firms and Institutions in a Network Perspective (1952-1983)," Working Papers - Economics wp2015_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. Drago, Carlo & Ricciuti, Roberto, 2017. "Communities detection as a tool to assess a reform of the Italian interlocking directorship network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 91-104.
    8. Carlo Drago & Roberto Ricciuti, 2019. "Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance," Working Papers 05/2019, University of Verona, Department of Economics.
    9. Matthias Raddant & Mishael Milaković & Laura Birg, 2017. "Persistence in corporate networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 249-276, July.
    10. Mishael Milaković & Simone Alfarano & Thomas Lux, 2010. "The small core of the German corporate board network," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 201-215, June.
    11. Bargigli, L. & Giannetti, R., 2018. "The Italian corporate system in a network perspective (1952–1983)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 367-379.
    12. Lucia Bellenzier & Rosanna Grassi, 2014. "Interlocking directorates in Italy: persistent links in network dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 183-202, October.
    13. Gian Paolo Clemente & Marco Fattore & Rosanna Grassi, 2018. "Structural comparisons of networks and model-based detection of small-worldness," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 117-141, April.
    14. Shen, Yafei & Shi, Jinyao & Cai, Shuiming, 2020. "Pinning synchronization of weighted bipartite networks with time-varying delays via aperiodic intermittent control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    15. Sankowska, Anna & Siudak, Dariusz, 2016. "The small world phenomenon and assortative mixing in Polish corporate board and director networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 309-315.
    16. Gupta, Aparna & Owusu, Abena & Zou, Lei, 2021. "Identifying board of director network influence for firm characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    17. Rosanna Grassi & Marco Fattore & Alberto Arcagni, 2015. "Structural and non-structural temporal evolution of socio-economic real networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1597-1608, July.
    18. Yu-En Lin & Jia-Qi Yu & Hsiang-Hsuan Chih & Kung-Cheng Ho, 2022. "Near is more: learning efficiency in research and development innovation among interlocking firms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.

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    Keywords

    Networks; Companies; Boards;
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