Webometrics and analysis of web mentions of the political parties with representation in Federal Senate

Abstract

It presents the application of webometric technique between the connections into the web of the political parties with representation in the Federal Senate with aims to understand how each political party relates on the network. To that end, the methodology used was the quantitative method with the measurement of five indicators, in which the size of each political party's site and the search of two political parties were analyzed in a simple way, by Boolean operator and by website with Web mention. Among the results it was verified that all the political parties in study have connections in the web, that the search with Boolean operator filters more pages than a simple search. In relation to the size of the site, the PSDB is the one with the largest number of pages, as well as the one that most emits web mentions of the other political parties. Still in relation to the results, the Pearson’s coefficient Linear Correlation showed a very strong classification for the variables Size of the site confronted with received web Mentions and for simple Search confronted with Boolean Search. It is concluded that studies between information retrieval and webometric have correlation, as well as the connections of political parties