New Models and Analyses for Social Networks and Criminological Careers

Grant number: DP120102902 | Funding period: 2012 - 2016

Completed

Abstract

This project will develop new models and analyses for social networks and criminological careers. This will provide a fast analysis for very large and complex social networks, and for the evolution of criminal careers over time. A particular strength will be the ability to detect outlying participants from the main structure.

Related publications (5)

Statistical modelling of a terrorist network

M Aitkin, D Vu, B Francis

2017-06-01

The paper investigates the group structure in a terrorist network through the latent class model and a Bayesian model comparison m..

Relational event models for social learning in MOOCs

D Vu, P Pattison, G Robins

2015-10-01

We propose three extensions for the relational event framework to model the co-evolution of multiple network event streams which a..

Variational algorithms for biclustering models

D Vu, M Aitkin

2015-09-01

Biclustering is an important tool in exploratory statistical analysis which can be used to detect latent row and column groups of ..

A new Bayesian approach for determining the number of components in a finite mixture

M Aitkin, D Vu, B Francis

2015-08-22

This article evaluates a new Bayesian approach to determining the number of components in a finite mixture. We evaluate through si..

Statistical modelling of the group structure of social networks

M Aitkin, D Vu, B Francis

2014-01-01

This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian..

University of Melbourne Researchers

Murray Aitkin

Pip Pattison