We analyse collaboration networks in Mexican theatre productions from 1900 to 1989. Our results suggest that the periods with more stable funding tended to have more closely knit communities, and institutional eras are dominated by more stratified and distinct communities.

This study investigates regional variations in Japanese children’s songs (warabe uta) by classifying melodies into "word-based" and "melodic" types using machine learning and GIS tools. Results reveal distinctive regional and demographic trends, with Kyoto’s melodies more "melodic" and urban areas favoring "word-based" styles, highlighting sociocultural and environmental influences.

This study explores the collective memory and national identity of the Visegrad Group (Czech Republic, Hungary, Poland, Slovakia) using innovative methodologies such as digital humanities, network modeling, and audio spectral analysis. Combining historiographical analysis with emotional and spectral analyses, it reveals intergenerational and sociocultural dynamics shaping memory and identity.