In this paper, we aim at investigating various aspects of countries' behaviour during the coronavirus pandemic period. By means of a multiplex network, we simultaneously consider government responses based on COVID-19 infections, Stringency Index, international trade and international air mobility data, to detect clusters of countries that showed a similar reaction to the pandemic. We propose a new methodological approach based on the Estrada communicability for identifying communities on a multiplex network, based on a two-step optimization process. At first, we determine the optimal inter-layer weight between levels by minimizing a distance function. Hence, the optimal weight is used to detect the communities on each layer. Our findings show that this new approach to community detection on a multiplex network provides additional insights with respect to the same procedure performed on layers separately. Indeed, clusters in the multiplex network benefit from a higher cohesion, as they are detected taking into account the mutual influence of the other networks.

Clemente, G. P., Grassi, R., Rizzini, G., The effect of the pandemic on complex socio-economic systems: community detection induced by communicability, <<SOFT COMPUTING>>, N/A; (N/A): 1-23. [doi:10.1007/s00500-023-09456-3] [https://hdl.handle.net/10807/261634]

The effect of the pandemic on complex socio-economic systems: community detection induced by communicability

Clemente, Gian Paolo;
2023

Abstract

In this paper, we aim at investigating various aspects of countries' behaviour during the coronavirus pandemic period. By means of a multiplex network, we simultaneously consider government responses based on COVID-19 infections, Stringency Index, international trade and international air mobility data, to detect clusters of countries that showed a similar reaction to the pandemic. We propose a new methodological approach based on the Estrada communicability for identifying communities on a multiplex network, based on a two-step optimization process. At first, we determine the optimal inter-layer weight between levels by minimizing a distance function. Hence, the optimal weight is used to detect the communities on each layer. Our findings show that this new approach to community detection on a multiplex network provides additional insights with respect to the same procedure performed on layers separately. Indeed, clusters in the multiplex network benefit from a higher cohesion, as they are detected taking into account the mutual influence of the other networks.
2023
Inglese
Clemente, G. P., Grassi, R., Rizzini, G., The effect of the pandemic on complex socio-economic systems: community detection induced by communicability, <<SOFT COMPUTING>>, N/A; (N/A): 1-23. [doi:10.1007/s00500-023-09456-3] [https://hdl.handle.net/10807/261634]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/261634
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