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Tytuł pozycji:

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

Tytuł :
A complex network approach to political analysis: Application to the Brazilian Chamber of Deputies.
Autorzy :
Brito ACM; Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, SP, Brazil.
Silva FN; São Carlos Institute of Physics, University of São Paulo, São Carlos, SP, Brazil.; Indiana University Network Science Institute, Bloomington, Indiana, United States of America.
Amancio DR; Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, SP, Brazil.
Pokaż więcej
Źródło :
PloS one [PLoS One] 2020 Mar 19; Vol. 15 (3), pp. e0229928. Date of Electronic Publication: 2020 Mar 19 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
Język :
English
Imprint Name(s) :
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms :
Government*
Models, Theoretical*
Political Systems*
Social Networking*
Brazil ; Dissent and Disputes ; Humans ; Politics
References :
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Entry Date(s) :
Date Created: 20200320 Date Completed: 20200617 Latest Revision: 20200617
Update Code :
20201023
PubMed Central ID :
PMC7081992
DOI :
10.1371/journal.pone.0229928
PMID :
32191720
Czasopismo naukowe
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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