• Corpus ID: 246430840

The effect of the pandemic on complex socio-economic systems: community detection induced by communicability (preprint)/ en

@inproceedings{Clemente2022TheEO,
  title={The effect of the pandemic on complex socio-economic systems: community detection induced by communicability (preprint)/ en},
  author={Gian Paolo Clemente and Rosanna Grassi and Giorgio Rizzini},
  year={2022}
}
The increasing complexity of interrelated systems has made the use of multiplex networks an important tool for explaining the nature of relations between elements in the system. In this paper, we aim at investigating various aspects of countries' behaviour during the coronavirus pandemic period. By means of a multiplex network we consider simultaneously stringency index values, COVID-19 infections and international trade data, in order to detect clusters of countries that showed a similar… 

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References

SHOWING 1-10 OF 49 REFERENCES

Identification of COVID-19 Spreaders Using Multiplex Networks Approach

The results show that, the countries are classified based on their numerical values in socioeconomics, population, Gross Domestic Product (GDP), health and air connections; however, the aspect that all the countries belonging to the separator set share is a high value in air connections.

Assessing the Impact of Social Network Structure on the Diffusion of Coronavirus Disease (COVID-19): A Generalized Spatial SEIRD Model.

This paper explores via simulations the dynamic properties of the co-evolutionary process dynamically linking disease diffusion and network properties and suggests that, in order to predict how epidemic phenomena evolve in networked populations, it is not enough to focus on the properties of initial interaction structures.

The world trade network: country centrality and the COVID-19 pandemic

The results show that the number of infections and fatalities are larger in countries with a higher centrality in the global trade network, and the effect of different measures of centrality is compared.

Linking FDI Network Topology with the Covid-19 Pandemic

Globalization has considerably increased the movement of people and goods around the world, which constitutes a key channel of viral infection. Increasingly close economic links between countries

Community structure in the World Trade Network based on communicability distances

This paper identifies clusters through a new procedure that exploits Estrada communicability distance and the vibrational communicable distance, which turn out to be particularly suitable for catching the inner structure of the economic network.

Communicability reveals a transition to coordinated behavior in multiplex networks

The communicability, which is essential for the good performance of these complex systems, emerges at a systemic operation point in the multiplex where the performance of the layers operates in a coordinated way very differently from the state represented by a collection of unconnected networks.

Communicability geometry of multiplexes

It is proved that the communicability function naturally induces an embedding of the multiplexes in a hyperspherical Euclidean space and it is explained in terms of a diffusive model in which the ‘information’ not only diffuses between the nodes but it is also processed internally on the entities of the complex system.

The COVID-19 pandemic and the world trade network

A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain

The hypothesis that incidence of the disease is lower at higher temperatures and higher levels of humidity is supported and population density and percentage of older adults display negative associations with incidence of COVID‐19, the disease caused by the virus.