Zobrazeno 1 - 10
of 41 475
pro vyhledávání: '"network science"'
Publikováno v:
Airlines and the COVID-19 Pandemic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract A central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between two or more locations over time. While these emergent systems a
Externí odkaz:
https://doaj.org/article/1a79b082222041dd9103f66e540e65ca
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-19 (2024)
Abstract This paper considers the European transfer market for professional football players as a network to study the relation between a team’s position in this network and performance in its domestic league. Our analysis is centered on eight top
Externí odkaz:
https://doaj.org/article/236871e0b9f740c18028567f3b7e2f14
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Reduced functional connectivity of physiological systems is associated with poor prognosis in critically ill patients. However, physiological network analysis is not commonly used in clinical practice and awaits quantitative evidence. Acute
Externí odkaz:
https://doaj.org/article/71647d7852f8441487a01fe9cc1f5575
Autor:
Pragyaa Bodapati, Eddie Zhang, Sathya Padmanabhan, Anisha Das, Medha Bhattacharya, Sahar Jahanikia
Publikováno v:
COVID, Vol 4, Iss 10, Pp 1546-1560 (2024)
As the COVID-19 pandemic began spreading worldwide in late 2019 and early 2020, many vaccine candidates were developed to combat the disease. However, new COVID-19 variants such as Omicron and Delta continue to emerge globally despite advancements in
Externí odkaz:
https://doaj.org/article/884f3db4122d488fa01e5835e5c7539f
Autor:
Michał Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radosław Michalski, Piotr Bródka
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 637-654 (2024)
With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of streaming, temporal, multilayer, and hypernetwork approaches has broug
Externí odkaz:
https://doaj.org/article/ec720e44c5ce4502b1438f4dac6733ec
Autor:
Albert Maršík, Eva Maria Luef
Publikováno v:
Linguistica Pragensia, Vol 34, Iss 2, Pp 147-160 (2024)
Lexical association data is a valuable resource in psycholinguistics, providing researchers with empirical insights into which words are perceived as ‘belonging together’. One of the largest such datasets for English, the University of South Flor
Externí odkaz:
https://doaj.org/article/0c3b185a03c64f9c82a6746dc68fe49b
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-18 (2024)
Abstract The digital age provides new challenges as information travels more quickly in a system of increasing complexity. But it also offers new opportunities, as we can track and study the system more efficiently. Several studies individually addre
Externí odkaz:
https://doaj.org/article/d5dc6cd406c147de836e14c8904c156f
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-22 (2024)
Abstract Migration’s influence in shaping population dynamics in times of impending climate and population crises exposes its crucial role in upholding societal cohesion. As migration impacts virtually all aspects of life, it continues to require a
Externí odkaz:
https://doaj.org/article/b8d796a3ce3049e28b15e2b3d0fb11ad
Publikováno v:
Journal of Computing Research and Innovation, Vol 9, Iss 2 (2024)
Throughout the history of the film industry, many people have been involved in roles like acting, directing, or even writing the storyline of a TV show or movie. A question arises: Who is the most influential person among all those people? The object
Externí odkaz:
https://doaj.org/article/8218673295604693b019687990d34ab4