Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Krzysztof Suchecki"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Why is the Twitter, with its extremely length-limited messages so popular ? Our work shows that short messages focused on a single topic may have an inherent advantage in spreading through social networks, which may explain the popularity of
Externí odkaz:
https://doaj.org/article/2814e18aeaf74665a56612bd3ab5efe2
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:
Big Data & Society, Vol 8 (2021)
The article explores the concept of infodemics during the COVID-19 pandemic, focusing on the propagation of false or inaccurate information proliferating worldwide throughout the SARS-CoV-2 health crisis. We provide an overview of disinformation, mis
Externí odkaz:
https://doaj.org/article/772483b401f84fd4b48e58aea247bcfc
Autor:
Krzysztof Suchecki, Janusz A. Hołyst
Publikováno v:
Entropy, Vol 24, Iss 2, p 252 (2022)
In this study, we explore the depth measures for flow hierarchy in directed networks. Two simple measures are defined—rooted depth and relative depth—and their properties are discussed. The method of loop collapse is introduced, allowing investig
Externí odkaz:
https://doaj.org/article/7d30455fb6134a118421be660b9ef679
We investigate how the spreading of messages in social networks is impacted by user selectivity for messages based on their content, competition for user's attention between different messages and message content adaptivity through user-introduced ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04321a400148f66ec8886e0cf8ff4133
https://doi.org/10.21203/rs.3.rs-1232620/v1
https://doi.org/10.21203/rs.3.rs-1232620/v1
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c14afa629075551cafcae6ba07998e5
https://pubmed.ncbi.nlm.nih.gov/35332184
https://pubmed.ncbi.nlm.nih.gov/35332184
Publikováno v:
Physica A: Statistical Mechanics and its Applications
We investigate the problem of locating the source of diffusion in complex networks without complete knowledge of nodes’ states. Some currently known methods assume the information travels via a single, shortest path, which by assumption is the fast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df00156de9331de4cb9674bfb88d31d0
https://doi.org/10.1016/j.physa.2018.12.012
https://doi.org/10.1016/j.physa.2018.12.012
Autor:
Janusz A. Hołyst, Arkadiusz Jędrzejewski, Joanna Toruniewska, Krzysztof Suchecki, Oleg Zaikin
We study an adaptive network model driven by a nonlinear voter dynamics. Each node in the network represents a voter and can be in one of two states that correspond to different opinions shared by the voters. A voter disagreeing with its neighbor's o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4355bc3f70207e5b37bb451b755e82d
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53f0f8da800157d2de6c191e88e72e1
https://doi.org/10.1016/j.physa.2021.126238
https://doi.org/10.1016/j.physa.2021.126238
Publikováno v:
Big Data & Society, Vol 8 (2021)
The article explores the concept of infodemics during the COVID-19 pandemic, focusing on the propagation of false or inaccurate information proliferating worldwide throughout the SARS-CoV-2 health crisis. We provide an overview of disinformation, mis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f300e11a94284298f36e2b3d1a78ee9
https://doi.org/10.1177/20539517211013848
https://doi.org/10.1177/20539517211013848