activity
19982021
most citedRecurrence-based time series analysis by means of complex network methods

429 citations · 1.6k across the 57 of their papers we have counts for

collaborators

58 papers

math.DS2021

Characterisation of neonatal cardiac dynamics using ordinal partition network

Laurita dos Santos, Débora Corrêa, David Walker +3

The maturation of the autonomic nervous system (ANS) starts in the gestation period and it is completed after birth in a variable time, reaching its peak in adulthood. However, the…

cond-mat.dis-nn2021★ 1 cited

Consistency capacity of reservoir computers

Thomas Jüngling, Thomas Lymburn, Michael Small

We study the propagation and distribution of information-carrying signals injected in dynamical systems serving as a reservoir computers. A multivariate correlation analysis in tai…

physics.data-an2020★ 3 cited

Navigating differential structures in complex networks

Leonardo L. Portes, Michael Small

Structural changes in a network representation of a system (e.g.,different experimental conditions, time evolution), can provide insight on its organization, function and on how it…

q-bio.PE2020

Modelling remote epidemic transmission in Western Australia and implications for pandemic response

Michael Small, Orlando Porras, Michael Little +2

We develop an agent-based model of disease transmission in remote communities in Western Australia. Despite extreme isolation, we show that the movement of people amongst a large n…

q-bio.PE2020★ 62 cited

Modelling strong control measures for epidemic propagation with networks -- A COVID-19 case study

Michael Small, David Cavanagh

We show that precise knowledge of epidemic transmission parameters is not required to build an informative model of the spread of disease. We propose a detailed model of the topolo…

physics.soc-ph2019★ 21 cited

A novel metric for community detection

Ke-ke Shang, Michael Small, Yan Wang +2

Research into detection of dense communities has recently attracted increasing attention within network science, various metrics for detection of such communities have been propose…