IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i4p1597-1608.html
   My bibliography  Save this article

Structural and non-structural temporal evolution of socio-economic real networks

Author

Listed:
  • Rosanna Grassi
  • Marco Fattore
  • Alberto Arcagni

Abstract

In this paper, we show that a comprehensive analysis of temporal network evolution requires to consider measures of non-structural changes, in addition to classical topological indicators. We employ a recently proposed measure of non-structural dynamics, together with other structural indicators, to analyze the time evolution of three subnetworks, extracted from the Italian corporate board network. Consistently with recent literature, we show that, to different extent, both structural and non-structural changes are present and must be accounted for, in order to get a satisfactory description of their temporal evolution. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1597-1608
    DOI: 10.1007/s11135-014-0070-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0070-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-014-0070-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    2. Thomas Lux & Michele Marchesi, 1999. "Scaling and criticality in a stochastic multi-agent model of a financial market," Nature, Nature, vol. 397(6719), pages 498-500, February.
    3. S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 345-352, March.
    4. Caldarelli, Guido & Catanzaro, Michele, 2004. "The corporate boards networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 98-106.
    5. Santella, Paolo & Drago, Carlo & Polo, Andrea & Gagliardi, Enrico, 2009. "A Comparison among the director networks in the main listed companies in France, Germany, Italy, and the United Kingdom," MPRA Paper 16397, University Library of Munich, Germany.
    6. 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.
    7. Garlaschelli, Diego & Battiston, Stefano & Castri, Maurizio & Servedio, Vito D.P. & Caldarelli, Guido, 2005. "The scale-free topology of market investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 491-499.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sahar Sabbaghan & Cecil Eng Huang Chua & Lesley A. Gardner, 2020. "Statistical measurement of trees’ similarity," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 781-806, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Pecora, Nicolò & Spelta, Alessandro, 2015. "Shareholding relationships in the Euro Area banking market: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 1-12.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Garratt, Rodney & Zimmerman, Peter, 2020. "Centralized netting in financial networks," Journal of Banking & Finance, Elsevier, vol. 112(C).
    10. 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.
    11. 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.
    12. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    18. 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.
    19. Zhang, Yongjie & Cao, Xing & He, Feng & Zhang, Wei, 2017. "Network topology analysis approach on China’s QFII stock investment behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 77-88.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1597-1608. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.