Centrality Measures And Clustering Analysis in a Retail Food Network

P. 48–52.

Алескеров Ф. Т., Мещерякова Н. Г., Сергеева З. В., Швыдун С. В.

Trading processes is a vital part of human life and any unstable situation results in the change of living conditions of individuals. We study the power of each country in terms of produce trade. Trade relations between countries are represented as a network, where vertices are territories and edges are export flows. As flows of products between participants are heterogeneous we consider various groups of substitute goods (cereals, fish, vegetables). We detect key participants affecting food retail with the use of classical centrality measures. We also perform clustering procedure in order to find communities in networks.

Ключевые слова: network analysis, centrality measures, community detection, Food network

ПУБЛИКАЦИЯ ПОДГОТОВЛЕНА ПО РЕЗУЛЬТАТАМ ПРОЕКТА: Современный контекст методов принятия решений и анализа данных: человеческий фактор, неопределенность, риски, сетевые модели, большие данные (2018)

В книге

2017 IEEE 11th International Conference on Application of Information and Communication Technologies

Vol. 1. , M.: Institute of Electrical and Electoronics Engineers, 2017.