@inproceedings{1e61b8204cc048809a4794a68116f58c,
title = "Indirect Influence Assessment in the Context of Retail Food Network",
abstract = "We consider an application of long-range interaction centrality (LRIC) to the problem of the influence assessment in the global retail food network. Firstly, we reconstruct an initial graph into the graph of directed intensities based on individual node{\textquoteright}s characteristics and possibility of the group influence. Secondly, we apply different models of the indirect influence estimation based on simple paths and random walks. This approach can help us to estimate node-to-node influence in networks. Finally, we aggregate node-to-node influence into the influence index. The model is applied to the food trade network based on the World International Trade Solution database. The results obtained for the global trade by different product commodities are compared with classical centrality measures.",
keywords = "Food trade network, Influence estimation, Network analysis",
author = "Fuad Aleskerov and Natalia Meshcheryakova and Sergey Shvydun",
year = "2020",
doi = "10.1007/978-3-030-37157-9_10",
language = "English",
isbn = "9783030371562",
series = "Springer Proceedings in Mathematics and Statistics",
publisher = "Springer",
pages = "143--160",
editor = "Ilya Bychkov and Kalyagin, {Valery A.} and Pardalos, {Panos M.} and Oleg Prokopyev",
booktitle = "Network Algorithms, Data Mining, and Applications, NET 2018",
note = "8th International Conference on Network Analysis, NET 2018 ; Conference date: 18-05-2018 Through 19-05-2018",
}