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Social Network Analysis Workshop

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Date: Monday 18 - Friday 22 February
Venue: AGSE202 Hawthorn Campus

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In this 5-day intensive workshop you will learn how to conduct social network research, moving from the fundamentals of networks to how to use cutting-edge statistical network models. Some general statistical knowledge is assumed (e.g. logistic regression).

You will require your own PC laptop (or Mac with Windows installed – Mac OS is not supported).

Course themes

  • Statistical Inference with network data
  • Software for visualisation and analysis
  • Representing network data: from basics to advanced
  • Networks in action: Case studies
  • Applying SNA
  • One-on-one consultation times and group problem solving tasks


The course includes all course exercise materials, lunch and afternoon tea.

Note: you must bring your own PC laptop (or Mac with Windows installed – Mac OS is not supported).


Contact Information: Dr Peng Wang

Workshop agenda

Day 1: Network fundamentals

  • What is distinctive about social network research?
  • Network data: Representations and formats
  • Qualitative versus quantitative data collection
  • Primary versus secondary data sources
  • Ethics for network research
  • Organisational network methods
  • Data entry, data processing and management
  • Group allocation and briefing

Day 2: Key concepts and descriptive SNA

  • Social Selection vs Social Influence
  • The building blocks of networks: density; reciprocity; degree; connectivity; centrality; clustering; and preferential attachment (popularity)
  • Multiplex and bipartite networks
  • Introductory approaches to statistical inference

Day 3: Introduction to ERGMs

  • What are exponential random graph models (ERGMs)?
  • Formation of network structure
  • MPNet software for network models
  • Working with graph distributions
  • Network dependence & emergence
  • Estimating ERGMs (modelling network data)

Day 4: ERGM extensions

  • Simulation and Goodness of Fit with ERGM
  • Estimating directed ERGMs
  • Estimating ERGMs with actor attributes
  • ALAAMs – social influence models
  • Problem solving for model fit

Day 5: Network evaluation and presentations

  • Network effectiveness
  • Network evaluation
  • Network problem solving
  • Group presentations


  • Professor Dean Lusher
  • Dr Peng Wang
  • Professor Garry Robins
  • Dr Colin Gallagher
  • Dr James Coutinho
  • Dr Alex Stivala
  • Dr Maedeh Aboutelabi Karkavandi
  • Dr Giovanni Sadewo