  In this work we were aimed to study music using visibility algorithms. This
algorithms are used as a way to get a network, from a time series. However the
main idea of this paper was not to study music from the perspective of complex
networks, but to studying it as a lenguage, basically the changes in wath we
call \textit{words,} between diferents ages in music. The visibility algorithm
provide us a way to cut time series and generate the words, of the composers we
where studying. We study clasical music composers from differents ages, from
Bach to Schostakovish. Time series in this work came from MIDI archives and the
series were generated by, the absolute diference between two adyacent notes, in
the first voice in the MIDI archive. Once we had our series we apply the
algorithm to generate words. The visibility algorihm was used also, as a way to
get Zipf law becouse at first what we found was that when we used visibility
algorithm we create a free-scale network, so we decided to take subgroup of
this network that is going to be also free of scale, and make the musical
words.
