Welcome to the Social Networks Lab at the University of Melbourne.
The Social Networks Lab focuses on modelling different network structures and the effects that those networks may have on individual and system-level outcomes. The statistical and methodological work is driven by a highly interdisciplinary substantive research agenda with application areas in public health, safety and security, geography, demography, and related areas. Research is typically based on relationships among individuals collected through direct elicitation but may also have been quantified from archival and historical records, or even from literary texts or films. Questions central to network research include the processes of how people chose to connect to the people they do and whether you choose people similar to yourself or whether you become similar to the people you are connected to.
- Johan Koskinen
Head of Lab
- Garry Robins
- Lucia Falzon
Honorary Research Fellow
- Giovanni Sadewo
Postdoctoral Research Fellow
- Pete Jones
(University of Manchester)
- Tasuku Igarashi
Pathways to radicalisation: using social network analysis to detect harmful and protective influences within social networks (Countering Violent Extremism)
There are numerous novel CVE intervention programmes around the world that deal with communities or peer effects (UK Home Office’s ‘anti-radicalisation programme’s’ nudging people away from ‘peer pressure’; Moonshot CVE and Jigsaw focus on online networks; and Exit Norway establishes support networks). People against Violent Extremism (PaVE), the only program in Australia, employs ‘innovative practice and peer-to-peer influence’. The evidence base for these efforts is exclusively based on a notion of the network as a metaphor and not as an analytical tool. We extend such programs by using innovative network analysis to evaluate the preventative potential of social networks and social network analysis (SNA) is a coherent framework for studying peer-to-peer influence (rather than defining ‘peers’ as generalised community or specific peer groups), and adopt a network lens on community and peer factors in radicalisation, which are important processes as drivers in all forms of VE. Integral to this is how the network relates ‘community resilience’ to ‘disengaging individuals’. The project is predicated on the notion that interventions should take the network into account, and could be strengthened by approaches which privilege network perspectives and analysis. Together with the Universities of Flinders and Deakin we will examine and test both ‘push’ and ‘pull’ factors as conceived in terms of embeddedness in different network communities using longitudinal network data on individuals known to have been radicalised.
Funded by The State of Victoria through the Department of Justice and Community Safety
Longitudinal Analysis for 10 Years Beyond Bushfires
With colleagues at UNSW and Swinburne we re-analyse a longitudinal community network dataset for bushfire affected communities. In studying the association of wellbeing and support ties we have to account for the fact that data are very patchy with non-response and missingness often being contingent on the network structure itself.
Creation of knowledge on ecological hazards in Russian and European local communities
ith colleagues at St Petersburg State University and a number of European partners, we aim to determine how local actors learn flood management using a sociosemantic network approach. This entails developing and extending current methodological approaches for looking at the association of social ties with concepts and their embeddedness is semantic networks.
Funded by the Russian Science Foundation
Upcoming Network Conferences
International Social Network Conference SUNBELT XLII Melbourne 2022
Dates: 4-8 January 2022
Location: RACV Melbourne CBD
Organised by the University of Melbourne and Swinburne University
Network Research in Australia
MelNet: a Melbourne-based consortium of experts in Social Network Analysis
ANSNA: Australian Network for Network Researchers
INCIS: A consortium of Network Researchers collaborating on covert network methodology, theory, and applications
Voson: Virtual Observatory for the Study of Online Networks
Network Research Globally
INSAN: The main network research body
Wednesday 12:30pm - 5pmWorkshop: Relational Event Models - An Introduction to Survival Modelling of Relational Data and Time-Stamped NetworksEvent
Tuesday 4pm - 5pmCHDH Seminar - Towards a relational framework for evaluating the gender bias in popular film narratives - Pete JonesEvent
The Fourth Annual Australian Social Network Analysis Conference 2019Event
Friday 3pm - 4:30pmStochastic Network Modelling as Generative Social Science - Dr Christian SteglichEvent
Tuesday 1pm - 2pmComplex Human Data Hub Seminar Series - Dr Nikita BasovEvent
Wednesday 1pm - 2pmComplex Human Data Hub Seminar Series - Dr Johan Koskinen (Part 2)Event
Wednesday 1pm - 2pmComplex Human Data Hub Seminar Series - Dr Johan Koskinen (Part 1)Event