Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: Room 13U-S14 |
Date: Monday, 23/June/2025 | |
9:00am - 12:00pm | WS-M25: SNA Toolbox – Data Collection, Visualisation, Analysis and Rapid Reporting Location: Room 13U-S14 Session Chair: Dean Lusher Session Chair: Peng Wang In this 3-hour workshop, you will get hands-on experience with SNA Toolbox – web-based software for the collection, visualisation, analysis and rapid reporting of social network data. SNA Toolbox is a comprehensive all-in-one network package that allows you to collect network data and have it instantly available in network-ready form for analysis (e.g., standard network metrics, indegree, clustering, etc…), with the ability to create a pipeline for online reports for research clients/partners/customers/participant groups that are securely accessible online.
Points covered include:
- System overview, including features, security, and user roles
- Using the survey designer to construct social network and standard attribute questions, as well as automated calculations of scale items.
- Network analysis packages that immediately utilise the data collected without the need for data transformation.
- Network visualisation tools, algorithms, nodal attributes, and selected node information
- General data visualisation tools (e.g., charts, graphics, etc….)
- Reporting: templates, pre-configurations, insights tools, and rapid reporting to clients on researcher-selected metrics.
No software is required. You will be supplied with login credentials for the web-based application for the workshop and beyond. |
1:30pm - 4:30pm | WS-M33: Walking through a Social Network Project in UCINET Location: Room 13U-S14 Session Chair: Rich DeJordy This workshop is focused on the practical application of one specific network analysis tool, UCINET (a Windows program, there is no Mac or Linux version) in completing the analysis for a particular study. Anonymized data from one of the instructors will be provided, and the workshop will walk the participants through a defined research project.
The workshop will cover:
Importing the data
Data transformations
Dealing with missing data
Network Visualizations using NetDraw
Exploring dyadic hypotheses
Characterizing a node’s network environment
Measuring structural holes and centrality
Exploring overall network structure
Testing hypotheses
The workshop is intended for people with a basic understanding of the network concepts covered and designed to be a hands-on supplement to the "Introduction to Core Network Concepts" workshop. Participants should bring a Windows-based laptop (or any machine with a Windows emulator). Participants do not need to own UCINET for this workshop. One to two weeks prior to the workshop, participants will be sent instructors for downloading the trial version of UCINET. |
Date: Tuesday, 24/June/2025 | |
1:30pm - 4:30pm | WS-T50: Epidemic modeling on networks using EpiModel Location: Room 13U-S14 Session Chair: Steven Goodreau Modeling the dynamics of infectious diseases on networks has a long history, and has become more prominent in recent years. This workshop provides a hands-on tutorial for the use of the R package EpiModel for network modeling of epidemics. EpiModel builds on the statnet suite of packages, especially tergm and other packages for temporal network modeling. Thus, familiarity with the concepts and methods of tergms, especially model terms, is important, although we will provide a rapid refresher. Familiarity with the basic concepts of epidemic modeling is also helpful. Familiarity with R is essential. We will cover:
- An overview of the EpiModel framework
- A rapid refresher on ergms and tergms
- A rapid overview of epidemic modeling concepts
- Specification and parametrization of models from egocentric network data
- Specification and parametrization of models from complete network data
- Visualization of network and epidemic outcomes
- Hands-on examples for basic models
- Introduction to the EpiModel API to expand models beyond the basics
- Pointers to research-level models with published EpiModel code |
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