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In this paper, we introduce a network-based methodology to study how clustersrepresented by political entities evolve over time. We constructed networks ofvoting data from the Brazilian Chamber of Deputies, where deputies are nodesand edges are represented by voting similarity among deputies. The BrazilianChamber of deputies is characterized by a multi-party political system. Thus,we would expect a broad spectrum of ideas to be represented. Our results,however, revealed that plurality of ideas is not present at all: the effectivenumber of communities representing ideas based on agreement/disagreement inpropositions is about 3 over the entire studied time span. The obtained resultsalso revealed different patterns of coalitions between distinct parties.Finally, we also found signs of early party isolation before presidentialimpeachment proceedings effectively started. We believe that the proposedframework could be used to complement the study of political dynamics and evenapplied in similar social networks where individuals are organized in a complexmanner.

A complex network approach to political analysis: application to the Brazilian Chamber of Deputies