Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Robert Paluch"'
Autor:
Łukasz G. Gajewski, Robert Paluch, Krzysztof Suchecki, Adam Sulik, Boleslaw K. Szymanski, Janusz A. Hołyst
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract In recent years, research on methods for locating a source of spreading phenomena in complex networks has seen numerous advances. Such methods can be applied not only to searching for the “patient zero” in epidemics, but also finding the
Externí odkaz:
https://doaj.org/article/da69b2c2b2f9455ab957fc4bfb338fe4
Publikováno v:
Future Generation Computer Systems. 112:1070-1092
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
Autor:
Łukasz G. Gajewski, Robert Paluch, Krzysztof Suchecki, Adam Sulik, Boleslaw K. Szymanski, Janusz A. Hołyst
Publikováno v:
Scientific reports. 12(1)
In recent years, research on methods for locating a source of spreading phenomena in complex networks has seen numerous advances. Such methods can be applied not only to searching for the “patient zero” in epidemics, but also finding the true sou
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 582:126238
Nowadays it is not uncommon to have to deal with dissemination on multilayer networks and often finding the source of said propagation can be a crucial task. We examine the issue of locating the source of Susceptible–Infected spreading process in a
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::783b5a2b461cafc39ca2709da123f6d1
http://arxiv.org/abs/1505.00985
http://arxiv.org/abs/1505.00985
Publikováno v:
Acta Physica Polonica A. 127:A-108
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
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports
Scientific Reports
Spread over complex networks is a ubiquitous process with increasingly wide applications. Locating spread sources is often important, e.g. finding the patient one in epidemics, or source of rumor spreading in social network. Pinto, Thiran and Vetterl