Indirect Influence Assessment in the Context of Retail Food Network

  • Fuad Aleskerov
  • Natalia MeshcheryakovaEmail author
  • Sergey Shvydun
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 315)


We consider an application of long-range interaction centrality (LRIC) to the problem of the influence assessment in the global retail food network. Firstly, we reconstruct an initial graph into the graph of directed intensities based on individual node’s characteristics and possibility of the group influence. Secondly, we apply different models of the indirect influence estimation based on simple paths and random walks. This approach can help us to estimate node-to-node influence in networks. Finally, we aggregate node-to-node influence into the influence index. The model is applied to the food trade network based on the World International Trade Solution database. The results obtained for the global trade by different product commodities are compared with classical centrality measures.


Influence estimation Network analysis Food trade network 



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’.

The work related to the analysis of global retail food network (Sect. 4) was prepared within the framework of the Russian Science Foundation under grant No 17-18-01651.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Fuad Aleskerov
    • 1
    • 2
  • Natalia Meshcheryakova
    • 1
    • 2
    Email author
  • Sergey Shvydun
    • 1
    • 2
  1. 1.National Research University Higher School of EconomicsMoscowRussian Federation
  2. 2.V.A. Trapeznikov Institute of Control Sciences of Russian Academy of SciencesMoscowRussian Federation

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