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Diffusion delay centrality: decelerating diffusion processes across networks

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  • Valerio Leone Sciabolazza
  • Luca Riccetti
Abstract
This paper presents a new measure (the diffusion delay centrality—DDC) to identify agents who should be put into isolation to decelerate a diffusion process spreading throughout a network. We show that DDC assigns a high rank to agents acting as the gatekeepers of the fringe of the network. We also show that the ranking of nodes obtained from the DDC is predicted by the difference in the values of betweenness and eigenvector centrality of network agents. The findings presented might constitute a useful tool to reduce diffusion processes both for policy makers and for corporate managers in the organization of production.

Suggested Citation

  • Valerio Leone Sciabolazza & Luca Riccetti, 2022. "Diffusion delay centrality: decelerating diffusion processes across networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(4), pages 980-1003.
    • Handle: RePEc:oup:indcch:v:31:y:2022:i:4:p:980-1003.
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    File URL: http://hdl.handle.net/10.1093/icc/dtab078
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    Cited by:

    1. Zádor, Zsófia & Zhu, Zhen & Smith, Matthew & Gorgoni, Sara, 2022. "A weighted and normalized Gould–Fernandez brokerage measure," Greenwich Papers in Political Economy 37794, University of Greenwich, Greenwich Political Economy Research Centre.

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