Social Network Analysis Workshop
The Complex Human Data Hub is pleased to be hosting a three-day workshop on Social Network Analysis by our colleague Dr Johan Koskinen, Stockholm University. Johan is an internationally renowned researcher in statistical analysis of social network data, and a highly experienced educator and trainer of network analysis.
The workshop will take place at Melbourne Connect from Wednesday 21 February to Friday 23 February. There are 5 x 3 hour sessions, see outlines below, and participants can attend individual sessions or participate in all sessions. There is also a Zoom option for participants who are not able to attend in-person, please contact Jonathan at jonathan.januar@unimelb.edu.au to access reduced zoom pricing (50% off the original price).
Sessions
1. Introduction to Social Network Analysis (Wednesday 21 Feb 1:30-4:30 pm)
This session serves as an introduction to the basic concepts of social network analysis in R. It is ideal for people interested in having a wide overview of conducting social network analysis and the research questions it can handle.
2. Introduction to Auto-logistic Actor Attribute Models (Thursday 22 Feb 9am-12pm)
This session will introduce approaches for explaining individual-level outcomes using networks, with an emphasis on inferring social influence with cross-sectional data. We will have a particular focus on and be given hands-on experience of estimating Auto-logistic Actor Attribute Models (ALAAM) using Bayesian inference. We will cover practical aspects of implementing the analysis, including examples of reading in and formatting the data, conducting the analysis, and interpreting the results. There will be a tea and coffee station and lunch provided after this session.
3. Introduction to Stochastic Actor-Oriented Models (Thursday 22 Feb 1:30-4:30 pm)
This session will introduce the Stochastic-Actor Oriented Model (SAOM) as a model for dynamic co-evolution of behaviours and network structures across time. We will first describe fundamentals of the SAOM and demonstrate its implementation in R with RSiena. This session will include afternoon tea and coffee.
4. Modelling Social Influence and Selection with SAOMs (Friday 23 Feb 9am-12pm)
This session continues exploring the SAOM with RSiena with coverage of the various model specifications detailed in RSiena. We will also demonstrate and justify why SAOMs are capable of disentangling social influence and social selection. There will be a tea and coffee station and lunch provided after this session.
5. Advanced Topics in SAOMs (Friday 23 Feb 1:30-4:30pm)
This session caps off the SAOM with theoretical developments and a demonstration of its implementation in RSiena. Topics include a hierarchical approach to the SAOM and approaches for missing data for longitudinal network data. This session will include afternoon tea and coffee.
Pricing
Student $95 per individual session or $300 for all sessions
Standard $220 per individual session or $675 for all sessions
Note
Participants will need to bring their own laptop, with recent versions of R and RStudio installed. Please also install the ‘RSiena’ package before the second session, as this will be used for statistical analysis.