Several complex systems are characterized by presenting intricate characteristics taking place at several scales of time and space. These multiscale characterizations are used in various applications, including better understanding diseases, characterizing transportation systems, and comparison between cities, among others. In particular, texts are also characterized by a hierarchical structure that can be approached by using multi-scale concepts and methods. The multiscale properties of texts constitute a subject worth further investigation. In addition, more effective approaches to text characterization and analysis can be obtained by emphasizing words with potentially more informational content. The present work aims at developing these possibilities while focusing on mesoscopic representations of networks. More specifically, we adopt an extension to the mesoscopic approach 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 (e.g., paragraphs). The characterization of the texts was then achieved by considering scale-dependent complementary methods: accessibility, symmetry and recurrence signatures. In order to evaluate the potential of these concepts and methods, we approached the problem of distinguishing between literary genres (fiction and non-fiction). A set of 300 books organized into the two genres was considered and were compared by using the aforementioned approaches. All the methods were capable of differentiating to some extent between the two genres. The accessibility and symmetry reflected the narrative asymmetries, while the recurrence signature provided a more direct indication about the non-sequential semantic connections taking place along the narrative.

Storytelling is at the heart of human nature. We were storytellers long before we were able to write, we shared our values and created our societies mostly through oral storytelling. Then, we managed to find the way to record and share our stories, and certainly more advanced ways to broadly share our stories; from Gutenberg's printing press to television, and the internet. Writing stories is not easy, especially if one must write a story just by looking at a picture in different literary genres. Natural Language Processing (NLP) is a field that is driving a revolution in the computer-human interaction.

Many historians believe that science fiction is as old as civilization itself. Believe it or not, even in the ancient times such work that resembles science fiction did exist. These are considered precursors of science fiction because they exhibit the fantastical elements although they lack the characteristics that really make up of science and technology. The fantasy aspects that are likened to modern science fiction include mechanical birds (which are equivalent to aircraft), the idea of time travel, human-like machines, the concept and quest for eternal life, as well as others. Because these were written in a time where technology and its advancements were still in their infancy, many of these aspects had not been made possible yet.