Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Julian Sienkiewicz"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, bu
Externí odkaz:
https://doaj.org/article/2413929055ac41b187a0178928d0b881
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
Publikováno v:
Entropy, Vol 22, Iss 9, p 1018 (2020)
We analyze a nonlinear q-voter model with stochastic noise, interpreted in the social context as independence, on a duplex network. The size of the lobby q (i.e., the pressure group) is a crucial parameter that changes the behavior of the system. The
Externí odkaz:
https://doaj.org/article/3ea7ac8df8a545ffbf67c21b76bfa695
Autor:
Julian Sienkiewicz, Eduardo G. Altmann
Publikováno v:
Royal Society Open Science, Vol 3, Iss 6 (2016)
We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear and affect differently the most cited and typical papers. For instance, we find that, in mo
Externí odkaz:
https://doaj.org/article/4d8c26d61f184700822e18b5d2a743de
Publikováno v:
Physical review. E. 105(2-1)
Echo chambers and polarisation dynamics are as of late a very prominent topic in scientific communities around the world. As these phenomena directly affect our lives and seemingly more and more as our societies and communication channels evolve it b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::843b079443bceeca0217ce6841de99a6
https://pubmed.ncbi.nlm.nih.gov/35291103
https://pubmed.ncbi.nlm.nih.gov/35291103
Publikováno v:
Physica A: Statistical Mechanics and its Applications
We show that activity of online news outlets follows a temporal fluctuation scaling law and we recover this feature using an independent cascade model augmented with a varying hype parameter representing a viral potential of an original article. We u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc66b0666fdd57403451e72bdc74bb57
https://doi.org/10.1016/j.physa.2019.02.035
https://doi.org/10.1016/j.physa.2019.02.035
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports, 11(1)
Scientific Reports
Scientific Reports, 11(1)
Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7648f0073cbb4300f19b84e3f74fd2b
https://doi.org/10.1038/s41598-021-86704-2
https://doi.org/10.1038/s41598-021-86704-2
Publikováno v:
Physical review. E. 104(3-1)
Finding hidden layers in complex networks is an important and a non-trivial problem in modern science. We explore the framework of quantum graphs to determine whether concealed parts of a multi-layer system exist and if so then what is their extent,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28122f08742ec23b2534d8f75f43b57d
https://pubmed.ncbi.nlm.nih.gov/34654079
https://pubmed.ncbi.nlm.nih.gov/34654079
Autor:
Gregor Leban, Mike Thelwall, Janusz A. Hołyst, Naum Dretnik, Jan Chołoniewski, Julian Sienkiewicz
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
A common way to learn about a system’s properties is to analyze temporal fluctuations in associated variables. However, conclusions based on fluctuations from a single entity can be misleading when used without proper reference to other comparable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e664f7eb29432d5e2a88f5a7828de4f
https://doi.org/10.1038/s41598-020-77660-4
https://doi.org/10.1038/s41598-020-77660-4
Publikováno v:
Entropy, Vol 22, Iss 1018, p 1018 (2020)
Entropy
Volume 22
Issue 9
Entropy
Volume 22
Issue 9
We analyze a nonlinear $q$-voter model with stochastic noise, interpreted in the social context as independence, on a duplex network. The size of the lobby $q$ (i.e., the pressure group) is a crucial parameter that changes the behavior of the system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa792a48de11ef763e739fcda751086a
http://arxiv.org/abs/2007.12168
http://arxiv.org/abs/2007.12168
