In this paper, we investigate whether there is a standardized writing composition for articles in Wikipedia and, if so, what it entails. By employing a Neural Gas approximation to the topology of our dataset, we generate a graph that represents various prevalent textual compositions adopted by the texts in our dataset. Subsequently, we examine significantly attractive regions within our graph by tracking the evolution of articles over time. Our observations reveal the coexistence of different stable compositions and the emergence and disappearance of certain unstable compositions over time.