exploratory graph analysis
Definition
Exploratory graph analysis refers to a network psychometric method that examines the structural organization and covariation of variables—particularly emotions—by mapping their relationships and interdependencies over time. This approach applies graph theory and network visualization to time-series data, revealing dimensional structures and patterns of how variables co-occur and change in relation to one another. In the study of political communication, dynamic exploratory graph analysis has been used to analyze facial expression recognition data from video recordings, uncovering how different emotions connect, cluster, and fluctuate throughout speeches, and how these network structures vary between individuals with different communicative styles.
Sources: Tomašević & Major (2024)
Related Terms
Applications
Exploratory Graph Analysis and Facial Expressions
Exploratory graph analysis is applied to facial expression recognition data extracted from video recordings of political speeches to uncover the network structure of emotions. This method enables researchers to identify patterns in how different facial expressions of emotions co-vary and change over time, revealing the latent affective dimensions underlying non-verbal communication.
Sources: Tomašević & Major (2024)
