In this work, we study properties of texts from the perspective of complex
network theory. Words in given texts are linked by co-occurrence and
transformed into networks, and we observe that these display topological
properties common to other complex systems. However, there are some properties
that seem to be exclusive to texts; many of these properties depend on the
frequency of words in the text, while others seem to be strictly determined by
the grammar. Precisely, these properties allow for a categorization of texts as
either with a sense and others encoded or senseless