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

Natalia Meshcheryakova

doi:10.1007/978-3-030-05414-4_7

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October 8, 2026

HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club

The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

October 7, 2026

‘Our Team Consists of True Leaders in Their Respective Academic Disciplines

The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

October 6, 2026

International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia

The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

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

Ch. 7. P. 80–90.

Natalia Meshcheryakova

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-tonode 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 food security network indirect influence

Publication based on the results of:

A study of models of decision-making and analysis of complex structured data (2019)

In book

Studies in Computational Intelligence

* 2. Vol. 813: Complex Networks and Their Applications VII. , Springer, 2019.

New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes

Aleskerov F. T., Швыдун С. В., Meshcheryakova N., CRC Press, 2022.

Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions ...

Added: November 12, 2021