  In this work we analyze statistical properties of 91 relatively small texts
in 7 different languages (Spanish, English, French, German, Turkish, Russian,
Icelandic) as well as texts with randomly inserted spaces. Despite the size
(around 11260 different words), the well known universal statistical laws --
namely Zipf and Herdan-Heap's laws -- are confirmed, and are in close agreement
with results obtained elsewhere. We also construct a word co-occurrence network
of each text. While the degree distribution is again universal, we note that
the distribution of Clustering Coefficients, which depend strongly on the local
structure of networks, can be used to differentiate between languages, as well
as to distinguish natural languages from random texts.
