From hairballs to hypotheses–biological insights from microbial networks
Microbial networks are an increasingly popular tool to investigate microbial community
structure, as they integrate multiple types of information and may represent systems-level …
structure, as they integrate multiple types of information and may represent systems-level …
Assortativity in complex networks
R Noldus, P Van Mieghem - Journal of Complex Networks, 2015 - academic.oup.com
We survey the concept of assortativity, starting from its original definition by Newman in
2002. Degree assortativity is the most commonly used form of assortativity. Degree …
2002. Degree assortativity is the most commonly used form of assortativity. Degree …
Modelling transmission and control of the COVID-19 pandemic in Australia
There is a continuing debate on relative benefits of various mitigation and suppression
strategies aimed to control the spread of COVID-19. Here we report the results of agent …
strategies aimed to control the spread of COVID-19. Here we report the results of agent …
Percolation centrality: Quantifying graph-theoretic impact of nodes during percolation in networks
A number of centrality measures are available to determine the relative importance of a
node in a complex network, and betweenness is prominent among them. However, the …
node in a complex network, and betweenness is prominent among them. However, the …
Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: an agent-based modelling approach
In this paper we present Ace Mod, an agent-based modelling framework for studying
influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal …
influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal …
Portfolio optimization through a network approach: Network assortative mixing and portfolio diversification
The paper deals with the classical problem of selecting a portfolio in the financial market and
follows a risk-return optimization approach. The main issue in portfolio selection is capturing …
follows a risk-return optimization approach. The main issue in portfolio selection is capturing …
Diagnosis of autism spectrum disorder based on eigenvalues of brain networks
Autism spectrum disorder (ASD) is a neuro dysfunction which causes the repetitive behavior
and social instability of patients. Diagnosing ASD has been of great interest. However, due …
and social instability of patients. Diagnosing ASD has been of great interest. However, due …
Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity
Abnormally strong neural synchronization may impair brain function, as observed in several
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …
Affinity paths and information diffusion in social networks
Widespread interest in the diffusion of information through social networks has produced a
large number of Social Dynamics models. A majority of them use theoretical hypothesis to …
large number of Social Dynamics models. A majority of them use theoretical hypothesis to …
Extracting biomarkers of autism from MEG resting-state functional connectivity networks
The present study is a preliminary attempt to use graph theory for deriving distinct features of
resting-state functional networks in young adults with autism spectrum disorder (ASD) …
resting-state functional networks in young adults with autism spectrum disorder (ASD) …