A method for determining the collective emotional state based on an emotional network and a FER-model

Authors

DOI:

https://doi.org/10.18372/2073-4751.86.21272

Keywords:

information technology, Facial Emotion Recognition (FER), emotional network, emotional clusters, computer vision, artificial intelligence, emotion analysis, AEP, DGE, social networks

Abstract

This paper proposes a method for determining the emotional state of a group of people based on the construction of an emotional network and dynamically weighted graphs. To assess the emotional state, the Aggregated Emotional Profile (AEP) and Dominant Group Emotion (DGE) metrics are employed, enabling the formation of a generalized emotional profile of the group. The nodes of the graph correspond to individual persons, while the edge weights reflect the degree of emotional similarity or mutual influence between them. Positive, negative, and neutral emotional clusters are formed based on emotional vectors. The proposed approach enables the analysis of collective emotional dynamics, the identification of conflict nodes, and the prediction of behavioral scenarios within groups of people in the future.

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Published

2026-05-30

How to Cite

Deveсiogullari A., Havrylenko, O., Zhurakovska, O., Kolesnyk, R., & Mytnyk, D. (2026). A method for determining the collective emotional state based on an emotional network and a FER-model. Problems of Informatization and Control, 2(86), 42–51. https://doi.org/10.18372/2073-4751.86.21272

Issue

Vol. 2 No. 86 (2026)

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