Zobrazeno 1 - 10
of 367
pro vyhledávání: '"DION, R. P."'
Publikováno v:
MethodsX Volume 9, 2022, 101820
This article describes a new method for estimating weekly incidence (new onset) of symptoms consistent with Influenza and COVID-19, using data from the Flutracking survey. The method mitigates some of the known self-selection and symptom-reporting bi
Externí odkaz:
http://arxiv.org/abs/2208.00568
The current study uses a network analysis approach to explore the STEM pathways that students take through their final year of high school in Aotearoa New Zealand. By accessing individual-level microdata from New Zealand's Integrated Data Infrastruct
Externí odkaz:
http://arxiv.org/abs/2008.13575
Co-authorship networks have been extensively studied in network science as they pose as a perfect example of how single elements of a system give rise to collective phenomena on an intricate, non-trivial structure of interactions. However, co-authors
Externí odkaz:
http://arxiv.org/abs/2005.13251
Publikováno v:
Phys. Rev. E 101, 052305 (2020)
Dynamical processes, such as the diffusion of knowledge, opinions, pathogens, "fake news", innovation, and others, are highly dependent on the structure of the social network on which they occur. However, questions on why most social networks present
Externí odkaz:
http://arxiv.org/abs/1912.03211
Autor:
Harvey, Emily P., O'Neale, Dion R. J.
Input Output (IO) tables provide a standardised way of looking at monetary flows between all industries in an economy. IO tables can be thought of as networks - with the nodes being different industries and the edges being the flows between them. We
Externí odkaz:
http://arxiv.org/abs/1910.12498
Generative network models are extremely useful for understanding the mechanisms that operate in network formation and are widely used across several areas of knowledge. However, when it comes to bipartite networks -- a class of network frequently enc
Externí odkaz:
http://arxiv.org/abs/1910.12488
Autor:
Filho, D. Vasques, O'Neale, Dion R. J.
A number of real-world networks are, in fact, one-mode projections of bipartite networks comprised of two types of nodes. For institutions engaging in collaboration for technological innovation, the underlying network is bipartite with institutions (
Externí odkaz:
http://arxiv.org/abs/1909.10977
Studies of bibliographic data suggest a strong correlation between the growth of citation networks and their corresponding co-authorship networks. We explore the interdependence between evolving citation and co-authorship networks focused on the publ
Externí odkaz:
http://arxiv.org/abs/1909.00185
Current trends suggest that significant gender disparities exist within Science, Technology, Engineering, and Mathematics (STEM) education at university, with female students being underrepresented in physics, but more equally represented in life sci
Externí odkaz:
http://arxiv.org/abs/1903.08725
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