| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
[2] Univ Sao Paulo, Sao Carlos Inst Phys, Sao Carlos, SP - Brazil
[3] Indiana Univ, Network Sci Inst, Bloomington, IN - USA
Total Affiliations: 3
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| Document type: | Journal article |
| Source: | PLoS One; v. 15, n. 3 MAR 19 2020. |
| Web of Science Citations: | 0 |
| 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. (AU) | |
| FAPESP's process: | 16/19069-9 - Using semantical information to classify texts modelled as complex networks |
| Grantee: | Diego Raphael Amancio |
| Support Opportunities: | Regular Research Grants |