72399

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Networks under Deep Uncertainty

ISBN/ISSN: 

ISSN: 1877-0509

DOI: 

10.1016/j.procs.2022.11.307

Наименование источника: 

  • Procedia Computer Science

Обозначение и номер тома: 

Vol. 214

Город: 

  • Амстердам

Издательство: 

  • Elsevier

Год издания: 

2022

Страницы: 

1285-1292, https://www.sciencedirect.com/science/article/pii/S1877050922020191
Аннотация
We construct a model to find the insecure countries in terms of food security using network analysis under the conditions of deep uncertainty. The conditions under deep uncertainty can be drought, flood, earthquakes, etc., which affect the supply and demand of food of the countries. Under such conditions which countries are more vulnerable has been studied. In order to study such situations, a model for healthy consumption of different products has been built, and a network is constructed to determine the vulnerable countries using the import and export data of basic food products (Rice, Wheat, Maize, Sorghum, Barley and Rye) for various countries. Different measures of network analysis have been applied and studied to discover the dependency of one country from other country.

Библиографическая ссылка: 

Алескеров Ф.Т., Dutta S.., Егоров Д.., Ткачев Д.С. Networks under Deep Uncertainty // Procedia Computer Science. 2022. Vol. 214. С. 1285-1292, https://www.sciencedirect.com/science/article/pii/S1877050922020191.