| Full text | |
| Author(s): |
Souza, Barbara C. E.
;
Silva, Filipi N.
;
de Arruda, Henrique F.
;
da Silva, Giovana D.
;
Costa, Luciano Da F.
;
Amancio, Diego R.
Total Authors: 6
|
| Document type: | Journal article |
| Source: | INFORMATION SCIENCES; v. 641, p. 15-pg., 2023-05-12. |
| Abstract | |
Several complex systems are characterized by exhibiting intricate properties that occur at multiple scales. These multi-scale characterizations are used in various applications. In particular, texts can be characterized by a hierarchical structure, which can be approached by using multi-scale concepts and methods. Here, we adopt an extension of the multi-scale, mesoscopic approach - hereafter referred to as a recurrence network - to represent text narratives, in which only the recurrent relationships among tagged parts of speech (subject, verb and direct object) are considered to establish connections among sequential pieces of text. The characterization of the texts was then achieved by considering scale-dependent complementary methods: accessibility and symmetry. To evaluate the potential of these concepts, we approached the problem of distinguishing between meaningful and meaningless texts and different literary genres (namely, fiction and non-fiction). A set of 300 books was considered and compared by using the above approaches. The recurrence network characterization was able to discriminate to some extent between real and meaningless and between the two genres assessed. Thus, our results indicate that recurrence networks are able to capture subtleties in book plots, suggesting that a similar methodology can be used in related networked applications. (AU) | |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |
| FAPESP's process: | 21/01744-0 - Using complex networks to characterize and identify the success of literary works |
| Grantee: | Giovana Daniele da Silva |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| FAPESP's process: | 20/06271-0 - Combining complex networks and word embeddings in text classification tasks |
| Grantee: | Diego Raphael Amancio |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/10489-0 - Transformations of complex networks and their implication in topology and dynamics of complex systems |
| Grantee: | Henrique Ferraz de Arruda |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |