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Vertex centrality as a measure of information flow in Italian Corporate Board Networks

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  • Grassi, Rosanna

Abstract

The aim of this article is to investigate the governance models of companies listed on the Italian Stock Exchange by using a network approach, which describes the interlinks between boards of directors. Following mainstream literature, I construct a weighted graph representing the listed companies (vertices) and their relationships (weighted edges), the Corporate Board Network; I then apply three different vertex centrality measures: degree, betweenness and flow betweenness. What emerges from the network construction and by applying the degree centrality is a structure with a large number of connections but not particularly dense, where the presence of a small number of highly connected nodes (hubs) is evident.

Suggested Citation

  • Grassi, Rosanna, 2010. "Vertex centrality as a measure of information flow in Italian Corporate Board Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2455-2464.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:12:p:2455-2464
    DOI: 10.1016/j.physa.2009.12.069
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Coletti, Paolo, 2016. "Comparing minimum spanning trees of the Italian stock market using returns and volumes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 246-261.
    4. Anna D’Arcangelis & Giulia Rotundo, 2015. "Mutual funds relationships and performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1573-1584, July.
    5. Carlo Drago & Roberto Ricciuti & Paolo Santella, 2015. "An Attempt to Disperse the Italian Interlocking Directorship Network: Analyzing the Effects of the 2011 Reform," Working Papers 2015.82, Fondazione Eni Enrico Mattei.
    6. Herteliu, Claudiu & Levantesi, Susanna & Rotundo, Giulia, 2021. "Network analysis of pension funds investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 579(C).
    7. Xing, Lizhi & Guan, Jun & Dong, Xianlei & Wu, Shan, 2018. "Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 164-184.
    8. Florian Blöchl & Fabian J. Theis & Fernando Vega-Redondo & Eric O'N. Fisher, 2010. "Which Sectors of a Modern Economy are most Central?," CESifo Working Paper Series 3175, CESifo.
    9. Giulia Rotundo & Anna D’Arcangelis, 2014. "Network of companies: an analysis of market concentration in the Italian stock market," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1893-1910, July.
    10. Roda Jean-Marc & Kamaruddin Norfaryanti & Palhiarim Tobias Rafael, 2014. "Deciphering Corporate Governance and Environmental Commitments among Southeast Asian Transnationals: Uptake of Sustainability Certification," Working Papers 40412, CIRAD, Forest department, UPR40, revised May 2015.
    11. Giudici, Giancarlo & Giuffra Moncayo, Giancarlo & Martinazzi, Stefano, 2020. "The role of advisors’ centrality in the success of Initial Coin Offerings," Journal of Economics and Business, Elsevier, vol. 112(C).
    12. Anna Maria D’Arcangelis & Giulia Rotundo, 2016. "Complex Networks in Finance," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 209-235, Springer.
    13. Hunecke, C. & Meyer, S. & Brummer, B., 2018. "Technology Diffusion through Networks - Adoption of automatic milking systems in Germany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277543, International Association of Agricultural Economists.
    14. 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.
    15. Fausto Bonacina & Marco D’Errico & Enrico Moretto & Silvana Stefani & Anna Torriero & Giovanni Zambruno, 2015. "A multiple network approach to corporate governance," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1585-1595, July.
    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).

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