Автор(ы): Мещерякова Н. Г. (ИПУ РАН, Лаборатория 25)Автор(ов): 1 Параметры публикацииТип публикации: Тезисы докладаНазвание: Indirect influence assessment in the context of retail food networkНаименование конференции: 8th International Conference on Network Analysis (NET 2018, Moscow)Наименование источника: Abstract Book of the 8th International Conference on Network Analysis (Moscow, Russia, 2018)Город: MoscowИздательство: HSEГод издания: 2018Страницы: 29-29 АннотацияIn current work we propose some algorithms of long-range connections evaluation. Firstly, we reconstruct an initial graph into the graph of directed intensities. This approach is based on the individual and the group influence with respect to nodes characteristics. Secondly, we apply different models of the indirect influence estimation based on simple paths and random walks. This can help us to estimate node-to-node influence in networks. Finally, we aggregated the results of node-to-node influence into the influence index. The model is applied to the food trade network based on World International Trade Solution database. The results are compared with classical centrality measures that were applied to initial network and to the network of directed intensities. Библиографическая ссылка: Мещерякова Н.Г. Indirect influence assessment in the context of retail food network / Abstract Book of the 8th International Conference on Network Analysis (Moscow, Russia, 2018). Moscow: HSE, 2018. С. 29-29.