1. Melbourne School of Psychological Sciences
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Melbourne School of Psychological Sciences

Social Networks Lab

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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

    jkoskinen@unimelb.edu.au

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    Dr Johan Koskinen

    Johan Koskinen

    Email
    jkoskinen@unimelb.edu.au

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  • Garry Robins

    Professor

    garrylr@unimelb.edu.au

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    Professor Garry Robins

    Garry Robins

    Email
    garrylr@unimelb.edu.au
    Location
    Room 1109, Redmond Barry Building, Parkville Campus
    Address
    Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, 3010, Australia

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    • Lucia Falzon

      Honorary Research Fellow

      lucia.falzon@unimelb.edu.au

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    • Giovanni Sadewo

      Postdoctoral Research Fellow

      radhitio.sadewo@unimelb.edu.au

    • Pete Jones

      Academic visitor

      (University of Manchester)

      pete.jones@unimelb.edu.au

      Research profile

    • Tasuku Igarashi

      Academic visitor

      tasukui@unimelb.edu.au

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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

insna logo


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

Upcoming Events

Past Events

  • Wednesday 11 December 2019 12:30pm - 5pm
    Workshop: Relational Event Models - An Introduction to Survival Modelling of Relational Data and Time-Stamped Networks
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    Event
  • Tuesday 10 December 2019 4pm - 5pm
    CHDH Seminar - Towards a relational framework for evaluating the gender bias in popular film narratives - Pete Jones
    Event
  • 28 November 201929 November 2019
    The Fourth Annual Australian Social Network Analysis Conference 2019
    Ansna logo white black background
    Event
  • Friday 22 November 2019 3pm - 4:30pm
    Stochastic Network Modelling as Generative Social Science - Dr Christian Steglich
    Christian
    Event
  • Tuesday 20 August 2019 1pm - 2pm
    Complex Human Data Hub Seminar Series - Dr Nikita Basov
    Event
  • Wednesday 10 April 2019 1pm - 2pm
    Complex Human Data Hub Seminar Series - Dr Johan Koskinen (Part 2)
    Event
  • Wednesday 3 April 2019 1pm - 2pm
    Complex Human Data Hub Seminar Series - Dr Johan Koskinen (Part 1)
    Event
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