72399

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.