Graphs, maps, trees : Abstract models for literary history

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**"Graphs, Maps, Trees: Abstract Models for Literary History" by Franco Moretti** explores the use of quantitative methods and abstract models in literary studies. Key themes and topics include:

- **Distant Reading**: Analyzing literature through data and computational methods rather than close reading of individual texts 【1】【2】.
- **Quantitative Literary Analysis**: Employing statistical and mathematical tools to study literary history and trends 【3】【4】.
- **Abstract Models**: Using graphs, maps, and trees to represent literary forms and historical developments 【5】.
- **Transformation of Literary Studies**: Shifting the focus from traditional literary criticism to broader, data-driven patterns 【6】【2】.
- **World Literature**: Applying these methods to analyze literature on a global scale 【7】.

To draw connections to other books in a library, consider these categories:

- **Literary Theory**: Books that discuss different approaches to literary analysis and criticism.
- **Data Science/Digital Humanities**: Works on applying computational methods to humanities research.
- **Cultural Analytics**: Books that explore the intersection of culture and data analysis.
- **Social Sciences**: Texts using social-scientific tools to understand the influence of literature 【8】.