Aleksandar Tomašević, University of Novi Sad, Serbia
Capturing Emotional Dynamics: Integrating Transformer Models with Dynamic Exploratory Graph Analysis
about the speaker
Aleksandar Tomašević is an Assistant Professor at the University of Novi Sad, Serbia, where he completed his PhD in Sociology with a focus on quantitative methods in 2019. His research applies computational methods to various fields of social science, with particular emphasis on network psychometrics and emotion analysis.
His work spans multiple fields including:
- Statistical modeling and computational methods in behavioral sciences
- Network psychometrics
- Machine learning applications in emotion recognition and political communication
- Evolution of trust and cooperation in online communities
He is one of the developers of the transforEmotion R package for multimodal sentiment analysis. His research network includes collaborations with leading institutions in the United States and Europe through the European Social Survey and the COST Opinion Network Action. He is currently involved in two major research projects: CTRUST, where he works with physicists and mathematicians on computational models of trust in online communities, and IDIOMATIC, a large-scale cross-cultural project focusing on the relationship between identity content and adolescent mental health. This work reflects his commitment to interdisciplinary research bridging psychology, computer science, social sciences, and physics.
His recent publications focus on innovative methodological approaches, including dynamic exploratory graph analysis of emotions, applications of transformer models in behavioral research, and network analysis of psychological constructs. His work has appeared in journals such as Personality and Individual Differences, Current Psychology, and EPJ Data Science.