How do individual sentiment states change as a function of social network structure, neighbouring sentiment, temporal dependence and individual characteristics?
The programme combines social network analysis, natural language processing, sentiment measurement, longitudinal analysis and agent-based modelling to examine affective diffusion as a dynamic network process.
Network: Directed social network
States: Positive · Neutral · Negative
Methods: NLP · SNA · ABM · time-series analysis
Add publications, datasets, code repositories, conference presentations and related outputs here as the project develops.
Lecturer | Department of Logistics
Stellenbosch University | Stellenbosch, South Africa
Phone: +27 21 808 3877
Email: maraisk@sun.ac.za