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.

Diffusion delay centrality. Decelerating diffusion processes across networks / Leone Sciabolazza, Valerio; Riccetti, Luca. - In: INDUSTRIAL AND CORPORATE CHANGE. - ISSN 0960-6491. - (2022). [10.1093/icc/dtab078]

Diffusion delay centrality. Decelerating diffusion processes across networks

Leone Sciabolazza, Valerio;
2022

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.
2022
network; diffusion; contagion; network centrality
01 Pubblicazione su rivista::01a Articolo in rivista
Diffusion delay centrality. Decelerating diffusion processes across networks / Leone Sciabolazza, Valerio; Riccetti, Luca. - In: INDUSTRIAL AND CORPORATE CHANGE. - ISSN 0960-6491. - (2022). [10.1093/icc/dtab078]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1620141
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