A5089574004- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Social Capital and Networks
- Posttraumatic Stress Disorder Research
- Mental Health Research Topics
- X-ray Diffraction in Crystallography
- HIV, Drug Use, Sexual Risk
- Disaster Response and Management
- Disaster Management and Resilience
- Bayesian Modeling and Causal Inference
- Hepatitis C virus research
- Data Management and Algorithms
- Crystallography and Radiation Phenomena
- Business Strategy and Innovation
- Resilience and Mental Health
- Schizophrenia research and treatment
- COVID-19 epidemiological studies
- Neurobiology of Language and Bilingualism
- Dementia and Cognitive Impairment Research
- Health disparities and outcomes
- Topological and Geometric Data Analysis
- Data Visualization and Analytics
- X-ray Spectroscopy and Fluorescence Analysis
- Traumatic Brain Injury Research
- Advanced Algebra and Logic
The University of Melbourne
2008-2024
The University of Sydney
2013-2024
UNSW Sydney
2016
Flinders University
2016
Karolinska University Hospital
2013
Australian Psychological Society
2013
Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno
2011
Murdoch Children's Research Institute
2010
Bendigo Health
2005-2008
École Polytechnique Fédérale de Lausanne
2005-2007
The most promising class of statistical models for expressing structural properties social networks observed at one moment in time is the exponential random graph (ERGMs), also known as p* models. strong point these that they can represent a variety tendencies, such transitivity, define complicated dependence patterns not easily modeled by more basic probability Recently, Markov chain Monte Carlo (MCMC) algorithms have been developed produce approximate maximum likelihood estimators....
Posttraumatic stress disorder (PTSD) and major depression occur frequently following traumatic exposure, both as separate disorders concurrently. This raises the question of whether PTSD are in aftermath trauma or part a single general construct. study aimed to explore relationships among PTSD, depression, comorbid PTSD/depression injury.A group 363 injury survivors was assessed just prior discharge from hospital 3 12 months postinjury. Canonical correlations were used examine relationship...
We integrated existing cognitive processing models of posttrauma reactions into a longitudinal model. Data were obtained after multiple shooting in city office block. The subject group comprised 158 workers who the building at time shootings. methodology this research was repeated measures survey, with data collection 4, 8, and 14 months posttrauma. Measures included Impact Events Scale (IES) Symptom Checklist-90-Revised. A path analysis performed IES as an indication processing. Intrusion...
The research described here builds on our previous work by generalizing the univariate models there to for multivariate relations. This family, labelled p*, generalizes Markov random graphs of Frank and Strauss, which were further developed them others, building Besag's ideas estimation. These first used model variables embedded in lattices Ising, have been quite common study spatial data. Here, they are applied statistical analysis multigraphs, general, social networks, particular. In this...
OBJECTIVE: Accurate information regarding the psychopathological consequences of surviving traumatic injury is great importance for effective health service design and planning. Regrettably, existing studies vary dramatically in reported prevalence rates psychopathology within this population. The aim study was to identify psychiatric morbidity following severe by adopting a longitudinal with close attention optimizing research methodology. METHOD: Consecutive admissions (N=363) level 1...
We argue that social networks can be modeled as the outcome of processes occur in overlapping local regions network, termed neighborhoods. Each neighborhood is conceived a possible site interaction and corresponds to subset network ties. In this paper, we discuss hypotheses about form these neighborhoods, present two new theoretically plausible ways which neighborhood-based models for constructed. first, introduce notion setting structure, directly hypothesized (or observed) set exogenous...
A collection of 2,209 isolates six polysaccharide capsule types Haemophilus influenzae, including 1,975 serotype b recovered in 30 countries was characterized for electrophoretically demonstrable allele profiles at 17 metabolic enzyme loci. Two hundred eighty distinct multilocus genotypes were distinguished, and cluster analysis revealed two primary phylogenetic divisions. The population structure encapsulated H. influenzae is clonal. Currently, most the invasive disease worldwide caused by...
Using simulation, we contrast global network structures—in particular, small world properties—with the local patterning that generates network. We show how to simulate Markov graph distributions based on assumptions about simple social processes. examine resulting structures against appropriate Bernoulli and provide examples of stochastic “worlds,” including worlds, long path nonclustered worlds with many four‐cycles. In light these results suggest a locally specified process produces...
Organizational communities present two generic features that are recurrently documented in empirical studies, but only imperfectly accounted for current models of interorganizational relations. The first is the tendency participant organizations to construct observed macrostructure locally, through relational activities involve a small subset possible network ties. second different types ties overlap, concatenate, and induce variety local structures—or motifs—across domains. A critical task...