Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Paluch, Robert"'
Autor:
Machura, Piotr, Paluch, Robert
Well-established methods of locating the source of information in a complex network are usually derived with the assumption of complete and exact knowledge of network topology. We study the performance of three such algorithms (LPTVA, GMLA and Pearso
Externí odkaz:
http://arxiv.org/abs/2210.14737
We investigate the problem of locating the source of a self-interacting signal spreading in a complex networks. We use a well-known rumour model as an example of the process with self-interaction. According to this model based on the SIR epidemic dyn
Externí odkaz:
http://arxiv.org/abs/2012.02039
Nowadays it is not uncommon to have to deal with dissemination on multi-layered networks and often finding the source of said propagation can be a crucial task. In this paper we tackle this exact problem with a maximum likelihood approach that we ext
Externí odkaz:
http://arxiv.org/abs/2012.02023
Publikováno v:
Future Generation Computer Systems, Volume 112, November 2020, Pages 1070-1092
As the world becomes more and more interconnected, our everyday objects become part of the Internet of Things, and our lives get more and more mirrored in virtual reality, where every piece of~information, including misinformation, fake news and malw
Externí odkaz:
http://arxiv.org/abs/2012.01876
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 November 2021 582
We introduce two models of inclusion hierarchies: Random Graph Hierarchy (RGH) and Limited Random Graph Hierarchy (LRGH). In both models a set of nodes at a given hierarchy level is connected randomly, as in the Erd\H{o}s-R\'{e}nyi random graph, with
Externí odkaz:
http://arxiv.org/abs/1505.00985
We extend the well-known Cont-Bouchaud model to include a hierarchical topology of agent's interactions. The influence of hierarchy on system dynamics is investigated by two models. The first one is based on a multi-level, nested Erdos-Renyi random g
Externí odkaz:
http://arxiv.org/abs/1502.02015
Autor:
Gajewski, Łukasz G.1 (AUTHOR) lukaszgajewski@tuta.io, Paluch, Robert1 (AUTHOR), Suchecki, Krzysztof1 (AUTHOR), Sulik, Adam1 (AUTHOR), Szymanski, Boleslaw K.2 (AUTHOR) szymab@rpi.edu, Hołyst, Janusz A.1,3 (AUTHOR)
Publikováno v:
Scientific Reports. 3/24/2022, Vol. 12 Issue 1, p1-11. 11p.
Akademický článek
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