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Updated: Dec 29, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Time evolution of the behaviour of Brazilian legislative Representatives using a complex network approach
Ludwing Marenco1, Humberto A Carmona1, Felipe Maciel Cardoso2
1Departamento de Física, Universidade Federal do Ceará, Fortaleza, Ceará, Brasil.
Abstract:
The follow up of Representative behavior after elections is imperative for a democratic Representative system, at the very least to punish betrayal with no re-election. Our goal was to show how to follow Representatives' and how to show behavior in real situations and observe trends in political crises including the onset of game changing political instabilities. We used correlation and correlation distance matrices of Brazilian Representative votes during four presidential terms. Re-ordering these matrices with Minimal Spanning Trees displays the dynamical formation of clusters for the sixteen year period, which includes one Presidential impeachment. The reordered matrices, colored by correlation strength and by the parties clearly show the origin of observed clusters and their evolution over time. When large clusters provide government support cluster breaks, political instability arises, which could lead to an impeachment, a trend we observed three years before the Brazilian President was impeached. We believe this method could be applied to foresee other political storms.
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