  In the contemporary world, a significant number of people use social
networking services for a variety of purposes, including, but not limited to,
communicating, exchanging messages and searching for information. A popular
social network in the political arena is Twitter, a microblogging service for
posting messages of up to 280 characters, called "tweets," where influential
politicians from various countries often use this medium to spread ideas and
make public statements. In this work, an analysis was made of the connections
of candidates for the presidency of the Republic of Brazil in the year 2018.
Using the analysis of complex networks to measure influence and relevance, a
metric was established able to quantify the importance of users in the network.
As part of the analysis, a Memory Algorithm was used to detect communities,
groups of strongly connected vertices (tweets) evidencing groupings of users.
