@inproceedings{86c10651d25541c9b40aeea87cb61492,
title = "Power in network structures based on simulations",
abstract = "Power evaluation in networks has been studied by many scientists. The problem has been usually considered from different areas as the problem of decision making by a group of agents, the problem of epidemic spreading, etc. Based on the intuition that a node becomes affected if its individual threshold is exceeded, we present a model how to measure the influence. The model considers chain reactions in a network and takes into account individual characteristics and the group influence of nodes as well as indirect interactions between them. Our main focus is to evaluate a pairwise influence between nodes and reveal the most powerful elements.",
keywords = "Group influence, Pairwise influence, Power, Simulations",
author = "Natalia Meshcheryakova and Sergey Shvydun",
year = "2018",
doi = "10.1007/978-3-319-72150-7_83",
language = "English",
isbn = "9783319721491",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "1028--1038",
editor = "Hocine Cherifi and Chantal Cherifi and Mirco Musolesi and M{\'a}rton Karsai",
booktitle = "Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)",
note = "6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 ; Conference date: 29-11-2017 Through 01-12-2017",
}