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This study aims to decompose plot structures of stories in narrative multimedia (i.e., creative works that contain stories and are distributed through multimedia). Since a story is interwoven with main plots and subplots (i.e., primary and ancillary story lines), decomposing a story into multiple story lines enables us to analyze how events in the story are allocated and logically connected. For the decomposition, the existing studies employed character networks (i.e., social networks of characters that appeared in a story) and assumed that characters’ social relationships are consistent in a story line. However, these studies overlooked that social relationships significantly change around major events. To solve this problem, we attempt to use the changes for distinguishing story lines rather than suffer from the changes. We concentrate on the changes in characters’ social relationships being the result of changes in their personalities. Moreover, these changes gradually proceed within a story line. Therefore, we first propose features for measuring changes in personalities of characters: (i) Degrees of characters in character networks, (ii) lengths of dialogues spoken by characters, and (iii) ratios of out-degrees for in-degrees of characters in character networks. We supposed these features reflect importance, inner/outer conflicts, and activeness of characters, respectively. Since characters’ personalities gradually change in a story line, we can suppose that the features also show gradual story developments in a story line. Therefore, we conduct regression for each feature to discover dominant tendencies of the features. By filtering scenes that do not follow the tendencies, we extract a story line that exhibits the most dominant personality changes. We can decompose stories into multiple story lines by iterating the regression and filtering. Besides, personalities of characters change more significantly in major story lines. Based on this assumption, we also propose methods for discriminating main plots. Finally, we evaluated the accuracy of the proposed methods by applying them to the movies, which is one of the most popular narrative multimedia.
O-Joun Lee; Eun-Soon You; Jin-Taek Kim. Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters. Applied Sciences 2021, 11, 1645 .
AMA StyleO-Joun Lee, Eun-Soon You, Jin-Taek Kim. Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters. Applied Sciences. 2021; 11 (4):1645.
Chicago/Turabian StyleO-Joun Lee; Eun-Soon You; Jin-Taek Kim. 2021. "Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters." Applied Sciences 11, no. 4: 1645.
This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires and conflicts are useful for understanding our society and realizing smart governance. To discover the social issues, we concentrate on that each subculture genre has a unique imaginary world that consists of inventive subjects. We suppose that the subjects correspond to individual social issues. For example, game fiction, one of the popular genres, describes a world like video games. Under game systems, everyone gets the same results for the same efforts, and it can be interpreted as critics for the social inequality issue. Therefore, we first extract subjects of genres and measure the membership degrees of subculture works for each genre. Using the subjects and membership degrees, we build a genealogy tree of subculture genres by tracing their evolution and differentiation. Then, we extract social issues by searching for the subjects that come from the real world, not imaginary. If a subculture work criticizes authoritarianism, it might include subjects such as government officials and bureaucrats. A combination of the social issues and genre genealogy tree will show diachronic changes in our society. We have evaluated the proposed methods by extracting social issues reflected in Korean web novels.
O-Joun Lee; Heelim Hong; Eun-Soon You; Jin-Taek Kim. Discovering Social Desires and Conflicts from Subculture Narrative Multimedia. Sustainability 2020, 12, 10241 .
AMA StyleO-Joun Lee, Heelim Hong, Eun-Soon You, Jin-Taek Kim. Discovering Social Desires and Conflicts from Subculture Narrative Multimedia. Sustainability. 2020; 12 (24):10241.
Chicago/Turabian StyleO-Joun Lee; Heelim Hong; Eun-Soon You; Jin-Taek Kim. 2020. "Discovering Social Desires and Conflicts from Subculture Narrative Multimedia." Sustainability 12, no. 24: 10241.