1 citations · 1 across the 4 of their papers we have counts for
8 papers
Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation
Steven Martin Turnbull, Dion R. J. O'Neale
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 ind…
Structure dynamics of evolving scientific networks
Demival Vasques Filho, Dion R. J. O'Neale
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…
Transitivity and degree assortativity explained: The bipartite structure of social networks
Demival Vasques Filho, Dion R. J. O'Neale
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 wh…
Using network science to quantify economic disruptions in regional input-output networks
Emily P. Harvey, Dion R. J. O'Neale
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 bein…
Latent space generative model for bipartite networks
Demival Vasques Filho, Dion R. J. O'Neale
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, wh…
The role of bipartite structure in R&D collaboration networks
D. Vasques Filho, Dion R. J. O'Neale
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 technologic…