mlsanityData to 14 Oct 2026

A City of Millions: Mapping Literary Social Networks At Scale

arXiv 2502.19590 ↗First posted 26 Feb 2025cs.CL cs.LG cs.SIcited by 2

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Abstract (arXiv)

We release 70,509 high-quality social networks extracted from multilingual fiction and nonfiction narratives. We additionally provide metadata for ~30,000 of these texts (73% nonfiction and 27% fiction) written between 1800 and 1999 in 58 languages. This dataset provides information on historical social worlds at an unprecedented scale, including data for 2,510,021 individuals in 2,805,482 pair-wise relationships annotated for affinity and relationship type. We achieve this scale by automating previously manual methods of extracting social networks; specifically, we adapt an existing annotation task as a language model prompt, ensuring consistency at scale with the use of structured output. This dataset serves as a unique resource for humanities and social science research by providing data on cognitive models of social realities.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 11 of its 46 references that are in the map. First posted on arXiv 26 Feb 2025.

Builds on

11 of 46 references.

References · 11

  1. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
  2. 2024Gemma 2: Improving Open Language Models at a Practical Sizecited by 1,998
  3. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
  4. 2024Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generationcited by 101
  5. 2016The emotional arcs of stories are dominated by six basic shapescited by 71
  6. 2019Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characterscited by 23
  7. 2024Large Language Models Fall Short: Understanding Complex Relationships in Detective Narrativescited by 14
  8. 2015Annotating Character Relationships in Literary Textscited by 7
  9. 2016Mining and modeling character networkscited by 4
  10. 2020Temporal Embeddings and Transformer Models for Narrative Text Understandingcited by 2
  11. 2023Social network analysis of manga: similarities to real-world social networks and trends over decadescited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Surveycited by 5
  2. 2026Computational Representations of Character Significance in Novelscited by 1