Multilevel determinants of collaboration between organised criminal groups

This is work that resulted from long-term collaboration with Criminal Intelligence Service Alberta that James started while working in the Leverhume-funded  Project  Collecting and analyzing secondary covert social network data (RPG-2013-140) at the Mitchell Centre for Social Network Analysis, and teaching at the LINKS Center for Social Network Analysis. Data on criminal collaborations and criminal group affiliations are based on Human Intelligence (HUMINT), Signals Intelligence (SIGINT), and Open-Source Intelligence (OSINT). The paper draws on theories in the fields of organisational studies and criminology, and, using Bayesian inference for multilevel ERGM, draws the conclusion that members of different outlaw motorcycle gangs are more likely to collaborate when they target the same marketplaces than other kinds of Organised Crime Groups.

A public access link to the article is provided here (expires 25 July)

Brokering Between (not so) Overt and (not so) Covert Networks in Conflict Zones

A novel multilevel network study by Patrycja Stys and colleagues has been published online. Key work was conducted while at MelNet with generous input from the team and the INCIS-sponsored 9th INW in Adelaide. The paper identifies actors that are in a position to broker between different armed groups.

https://www.tandfonline.com/doi/full/10.1080/17440572.2019.1596806

Mental Health and Social Networks After Disaster

Dr Colin Gallagher and collaborators have a new paper published in The American Journal of Psychiatry.

Mental Health and Social Networks After Disaster

Richard A. Bryant, Ph.D., H. Colin Gallagher, Ph.D., Lisa Gibbs, Ph.D., Philippa Pattison, Ph.D., Colin MacDougall, Ph.D., Louise Harms, Ph.D., Karen Block, Ph.D., Elyse Baker, B.Sc., Vikki Sinnott, B.A., Greg Ireton, Ph.D., John Richardson, B.A., David Forbes, Ph.D., Dean Lusher, Ph.D.

Congratulations Collin!

 

 

Measuring the road to success with the CSIRO

The CSIRO’s mission has changed significantly since it first gave away the recipe for its fly repellent, Aerogard, in return for two-dozen cans of the spray. Today, the national research organisation is looking to maximise scientific and economic returns for Australia, which means improving technology transfer and commercialisation of its discoveries.

To help achieve this, it has turned to social network analysts at Swinburne’s Centre for Transformative Innovation (CTI) to map the links between organisations and people that are necessary for rapid and rewarding innovation.

The Swinburne group, led by CTI associate director, Dr Dean Lusher, is a world leader in statistically analysing these networks on multiple levels using a new technique called exponential random graph modelling (ERGM).

The different levels of networking may include connections on an organisation-to-organisation level, such as the CSIRO and its industry and research partners being linked through formal contracts, and also at the personal level, such as advisory relationships. Statistical analysis led by Lusher and his colleague, Peng Wang, enables them to look at why and how those networks arise.

“They’re seen as the most sophisticated network models in the world and we’re one of the few groups in the world who are developing them,” says Lusher.

CSIRO Director of Research, Manufacturing, Greg Simpson, says they are excited by the early outcomes from the Swinburne work which is centred on the developing research and commercial networks associated with its revolutionary polymer technology, RAFT, which has been used to develop electronics, paints and medical devices.

One of the early insights of the analysis identified the importance of researchers attending professional conferences. In responding to the finding the organisation is already adjusting its operations, including clarifying how different roles in CSIRO link to equivalent roles in industry and academia.

“If we can better understand how to build innovation networks then we are much better placed to understand how industries work and to improve those industries,” says Lusher.

The Swinburne group has already successfully applied ERGM methodology across a range of other projects to identify important links within various networks. Previous analyses include the examination of community networking following Victoria’s Black Saturday bushfires, the mapping of the links between Australia’s biotech clusters, and an exploration of team culture within the Australian Football League. They are also using their ERGM expertise in ongoing work with Boeing and other corporate groups.

“Whether it be biotechnology or the manufacturing sector — it seems a cheap and easy way that we can make gains in the innovation space,” says Lusher.

Original article published here