ArticlePloS one2020
A complex network approach to political analysis: Application to the Brazilian Chamber of Deputies.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Complex networks applied to political analysis: Group voting behavior in the Brazilian congress.PloS one · 2025Article
- Using the Complex Network Model to Associate Nutritional, Psychological, and Physical Parameters and Aspects of Sleep with Depression Symptoms.Journal of clinical medicine · 2024Article
- Inference of monopartite networks from bipartite systems with different link types.Scientific reports · 2023Article
- Article
- News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization.EPJ data science · 2022Article
- Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In this paper, we introduce a network-based methodology to study how political entities evolve over time. We constructed networks of voting data from the Brazilian Chamber of Deputies, where deputies are nodes and edges are represented by voting similarity among deputies. The Brazilian Chamber 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 effective number of communities representing ideas based on agreement/disagreement in propositions is about 3 over the entire studied time span. The obtained results also revealed different patterns of coalitions between distinct parties. Finally, we also found signs of early party isolation before presidential impeachment proceedings effectively started. We believe that the proposed framework could be used to complement the study of political dynamics and even applied in similar social networks where individuals are organized in a complex manner.
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