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The Impact of Indirect Connections: The Case of Food Security Problem

  • Natalia Meshcheryakova
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)

Abstract

We propose a family of new measures for edge importance estimation. We focus on weighted directed networks where weights indicate the intensity of connections between nodes. We reward edges that increase node-to-node influence compared to direct connections between them. This approach allows to reveal hidden channels of the influence in networks. We apply the proposed model to food export/import networks in order to elucidate the most important trading relations. We compare the results with edge-betweenness centrality and investigate the interdependence between edge importance and centrality measures of corresponding source and sink nodes. The results are provided in dynamic.

Keywords

Edge importance Indirect influence Food security network 

Notes

Acknowledgments

The article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project ‘5-100’. This work is also supported by the Russian Foundation for Basic Research under grant №18-01-00804a Power of countries in the food security problem.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Natalia Meshcheryakova
    • 1
    • 2
  1. 1.National Research University Higher School of Economics (HSE)MoscowRussia
  2. 2.V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences (ICS RAS)MoscowRussia

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