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<p>This study examines the stylistic evolution of Pablo Picasso through a quantitative analysis of his artistic production. Using a corpus of 1170 digitised artworks sourced from WikiArt, we computed a set of image-based metrics grounded in aesthetic theory, including Shannon Entropy (EM), Fractal Dimension (FD), Birkhoff’s Aesthetic Measure (BAM), Euclidean Distance (ED) and Contextual Fit (CF). These metrics were used to characterise structural and compositional properties of the artworks and to examine their variation across Picasso’s major stylistic periods. By representing individual artworks as points in a multidimensional feature space defined by these metrics, the study reconstructs Picasso’s oeuvre as a trajectory through stylistic configurations over time. The analysis reveals consistent patterns in the distribution and temporal evolution of the metrics, highlighting phases of relative stability and periods of rapid stylistic transformation across the artist’s career. The computational framework is fully reproducible and scalable, enabling the application of the same analytical processes to other large visual corpora and artistic traditions. This trajectory-based approach provides a quantitative method for investigating artistic evolution and offers a complementary perspective to traditional art-historical interpretations of stylistic change.</p>

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Mapping artistic evolution: a trajectory-based computational analysis of Picasso’s stylistic development

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月15日

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  • Francesca Bertacchini,
  • Francesco Demarco,
  • Arrigo Bertacchini,
  • Riccardo Scida,
  • Alessandro Soranzo,
  • Pietro S. Pantano,
  • Eleonora Bilotta

摘要

This study examines the stylistic evolution of Pablo Picasso through a quantitative analysis of his artistic production. Using a corpus of 1170 digitised artworks sourced from WikiArt, we computed a set of image-based metrics grounded in aesthetic theory, including Shannon Entropy (EM), Fractal Dimension (FD), Birkhoff’s Aesthetic Measure (BAM), Euclidean Distance (ED) and Contextual Fit (CF). These metrics were used to characterise structural and compositional properties of the artworks and to examine their variation across Picasso’s major stylistic periods. By representing individual artworks as points in a multidimensional feature space defined by these metrics, the study reconstructs Picasso’s oeuvre as a trajectory through stylistic configurations over time. The analysis reveals consistent patterns in the distribution and temporal evolution of the metrics, highlighting phases of relative stability and periods of rapid stylistic transformation across the artist’s career. The computational framework is fully reproducible and scalable, enabling the application of the same analytical processes to other large visual corpora and artistic traditions. This trajectory-based approach provides a quantitative method for investigating artistic evolution and offers a complementary perspective to traditional art-historical interpretations of stylistic change.