Probing the topological properties of complex networks modeling short written texts.

ABSTRACT: In recent years, graph theory has been widely employed to probe several language properties. More specifically, the so-called word adjacency model has been proven useful for tackling several practical problems, especially those relying on textual stylistic analysis. The most common approach to treat texts as networks has simply considered either large pieces of texts or entire books. This approach has certainly worked well-many informative discoveries have been made this way-but it raises an uncomfortable question: could there be important topological patterns in small pieces of texts? To address this problem, the topological properties of subtexts sampled from entire books was probed. Statistical analyses performed on a dataset comprising 50 novels revealed that most of the traditional to

SUBMITTER: Amancio DR 

PROVIDER: S-EPMC4342245 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature