Complicating the Social Networks for Better Storytelling
An Empirical Study of Chinese Historical Text and Novel
Bibliographic Data
| ID | 22108514 |
|---|---|
| Authors | Chenhan Zhang (0000-0002-2352-0485, University of Technology Sydney), Qingpeng Zhang (0000-0002-6819-0686, City University of Hong Kong), Shui Yu (0000-0003-3775-5960, University of Technology Sydney), James J Q Yu (0000-0002-6392-6711, Southern University of Science and Technology), Xiaozhuang Song (0000-0002-7861-8957, Southern University of Science and Technology) |
| Year | 2021 |
| Volume | 8 |
| Issue | 3 |
| Pages | 754-767 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2021.3061702 |
| OpenAlex | W3139485732 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
Digital humanities is an important subject because it enables developments in history, literature, and films. In this article, we perform an empirical study of a Chinese historical text, Records of the Three Kingdoms (Records), and a historical novel of the same story, Romance of the Three Kingdoms (Romance). We employ deep-learning-based natural language processing (NLP) techniques to extract characters and their relationships. The adopted NLP approach can extract 93% and 91% characters that appeared in the two books, respectively. Then, we characterize the social networks and sentiments of the main characters in the historical text and the historical novel. We find that the social network in Romance is more complex and dynamic than that of Records, and the influence of the main characters differs. These findings shed light on the different styles of storytelling in the two literary genres and how the historical novel complicates the social networks of characters to enrich the literariness of the story
Art · Biography · Historical record · Literature · Narrative · Natural language processing · Romance · Storytelling · Computational and Text Analysis Methods · Computer Science · History · Sentiment Analysis and Opinion Mining · Topic Modeling · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |