Social Network Analysis Workshop
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|Date:||Monday 18 - Friday 22 February|
|Venue:||AGSE202 Hawthorn Campus|
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).
- 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
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