I'm an Assistant Professor at the University of Novi Sad, Faculty of Philosophy.

I am interested in applying computational methods to social science through AI/ML, network science, and open-source tools development.

My research appears in journals like EPJ Data Science, Current Psychology, and Personality and Individual Differences.

I post semi-regular updates on X but GitHub is the best place to find my work.

I'm open to new ideas and collaborations, the best way to reach me is by email.

Key Research Areas:

  • Emotion Analysis — Using AI models to analyze emotions in political communication
  • Trust Dynamics — Modeling cooperative behavior in online communities
  • Network Psychometrics — Mapping psychological constructs as complex networks
  • Open-Source Tools — Developing software for computational social science

Active Projects:

  • CTRUST — Computational models of trust dynamics in online communities
  • transforEmotion — R package for multimodal sentiment analysis (>10k CRAN installs)

Publications

Emotional aspects of political communication and emotion dynamics

Dynamic exploratory graph analysis of emotions in politics

2024

Tomašević, A., & Major, S. (2024). Dynamic exploratory graph analysis of emotions in politics. advances.in/psychology, 2, e312144. https://advances.in/psychology/10.56296/aip00021/

Decoding emotion dynamics in videos using dynamic Exploratory Graph Analysis and zero-shot image classification: A simulation and tutorial using the transforEmotion R package

2024

Tomašević, A., Golino, H., & Christensen, A. P. (2024). Decoding emotion dynamics in videos using dynamic Exploratory Graph Analysis and zero-shot image classification: A simulation and tutorial using the transforEmotion R package. PsyArXiv. https://osf.io/preprints/psyarxiv/hf3g7
doi: 10.31234/osf.io/hf3g7

The Face of Populism

2023

Major, S., & Tomašević, A. (2023). The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning (arXiv:2304.09914). arXiv. http://arxiv.org/abs/2304.09914

Online Communities and Social Media

Multi-Platform Aggregated Dataset of Online Communities (MADOC)

2025

Dankulov, M. M., Tomašević, A., Maletić, S., Anđelković, M., Vranić, A., Cvetković, D., Stupovski, B., Vudragović, D., Major, S., & Bogojević, A. (2025). Multi-Platform Aggregated Dataset of Online Communities (MADOC). arXiv [cs.SI]. http://arxiv.org/abs/2501.12886

Sustainability of Stack Exchange Q&A communities

2023

Vranić, A., Tomašević, A., Alorić, A., Mitrović Dankulov, M. (2023). Sustainability of Stack Exchange Q&A communities: The role of trust. EPJ Data Science, 12(1), Article 1. https://doi.org/10.1140/epjds/s13688-023-00381-x

Network Psychometrics

A network analysis of the associations between the Dark Triad traits and domains of emotional functioning

2025

Grabovac, B., Dinić, B. M., Tomašević, A., Carroll, G., & Burke, T. (2025). A network analysis of the associations between the Dark Triad traits and domains of emotional functioning. International Journal of Psychology, 60(2), e70011. https://doi.org/10.1002/ijop.70011

The good, the bad, and the ugly: Revisiting the Dark Core

2023

Dinić, B. M., Wertag, A., Sokolovska, V., & Tomašević, A. (2023). The good, the bad, and the ugly: Revisiting the Dark Core. Current Psychology. https://doi.org/10.1007/s12144-021-01829-x

The narcissism network and centrality of narcissism features

2022

Dinić, B. M., Sokolovska, V., & Tomašević, A. (2022). The narcissism network and centrality of narcissism features. Current Psychology. https://doi.org/10.1007/s12144-020-01250-w

Centrality and redundancy of the Dark Tetrad traits

2020

Dinić, B. M., Wertag, A., Tomašević, A., & Sokolovska, V. (2020). Centrality and redundancy of the Dark Tetrad traits. Personality and Individual Differences, 155, 109621. https://doi.org/10.1016/j.paid.2019.109621

IDIOMATIC project

Adolescent self-construal across cultures: Measurement invariance of the Aspects of Identity Questionnaire-IV in 30 countries

2025

Jovanović, V., Adams, S., Al Banna, M. H., Aritio-Solana, R., Aryanto, C. B., Avsec, A., Bakhshi, A., Bender, M., Berjot, S., Betancourth Zambrano, S., et al. (2025). Adolescent self-construal across cultures: Measurement invariance of the Aspects of Identity Questionnaire-IV in 30 countries. Journal of Research on Adolescence, 35(2), e70017.

Aspects of Identity Questionnaire-IV

2025

Jovanović, V., Lazić, M., Gavrilov-Jerković, V., Obradović, V., Šakan, D., Tomašević, A., & Zotović-Kostić, M. (2025). Aspects of Identity Questionnaire-IV: An examination of structural validity, gender invariance, and relationships with mental health and basic psychological needs among adolescents. Journal of Personality Assessment, 1–13. https://doi.org/10.1080/00223891.2024.2367546

The role of basic psychological needs in the relationships between identity orientations and adolescent mental health

2024

Jovanović, V., Tomašević, A., Šakan, D., Lazić, M., Gavrilov-Jerković, V., Zotović-Kostić, M., & Obradović, V. (2024). The role of basic psychological needs in the relationships between identity orientations and adolescent mental health: A protocol for a longitudinal study. PloS One, 19(1), e0296507. https://doi.org/10.1371/journal.pone.0296507

Software

transforEmotion

R package

transforEmotion is an R package for multimodal sentiment and emotion analysis using transformer models. It supports text, image, and video emotion recognition, and includes tools for dynamic exploratory graph analysis of emotion time series.

  • Text, image, and video emotion recognition
  • Zero-shot classification with transformer models
  • Dynamic network analysis of emotion dynamics
  • Open-source, cross-platform

YClient-Reddit

Python app

YClient-Reddit is a fork of the YSocial client application, modified to better support Reddit-like LLM agent social simulations.
YSocial is a client-server application that implements a digital twin of an online social media platform using Large Language Models (LLMs).

Key Modifications for Reddit-Like Simulation
  • Adapted agent prompts and interaction logic to mimic Reddit-style posting, commenting, and voting
  • Modified data structures and simulation parameters to reflect Reddit's community and thread-based organization
  • Adjusted recommender systems and feed generation to better align with Reddit's content discovery mechanisms
  • Additional configuration options and scripts for Reddit-specific experiments