  The outbreak of covid-19 started many months ago, the reported origin was in
Wuhan Market, China. Fastly, this virus was propagated to other countries
because the access to international travels is affordable and many countries
have a distance of some flight hours, besides borders were a constant flow of
people. By the other hand, Internet users have the habits of sharing content
using Social Networks and issues, problems, thoughts about Covdid-19 were not
an exception. Therefore, it is possible to analyze Social Network interaction
from one city, country to understand the impact generated by this global issue.
South America is one region with developing countries with challenges to face
related to Politics, Economy, Public Health and other. Therefore, the scope of
this paper is to analyze the interaction on Twitter of South American countries
and characterize the flow of data through the users using Complex Network
representation and Text Mining. The preliminary experiments introduces the idea
of existence of patterns, similar to Complex Systems. Besides, the degree
distribution confirm the idea of having a System and visualization of Adjacency
Matrices show the presence of users' group publishing and interacting together
during the time, there is a possibility of identification of robots sending
posts constantly.
