Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.

Bibliographic Details
Main Author:	Pedro O S Vaz de Melo
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2016-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC4721663?pdf=render

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record_format	Article
spelling	doaj-2e18a977077649f486bf9ec38fbe8b252020-11-25T01:24:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01111e014765610.1371/journal.pone.0147656Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.Pedro O S Vaz de Melohttp://europepmc.org/articles/PMC4721663?pdf=render
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Pedro O S Vaz de Melo
spellingShingle	Pedro O S Vaz de Melo Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems. PLoS ONE
author_facet	Pedro O S Vaz de Melo
author_sort	Pedro O S Vaz de Melo
title	Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.
title_short	Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.
title_full	Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.
title_fullStr	Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.
title_full_unstemmed	Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.
title_sort	correction: how many political parties should brazil have? a data-driven method to assess and reduce fragmentation in multi-party political systems.
publisher	Public Library of Science (PLoS)
series	PLoS ONE
issn	1932-6203
publishDate	2016-01-01
url	http://europepmc.org/articles/PMC4721663?pdf=render
work_keys_str_mv	AT pedroosvazdemelo correctionhowmanypoliticalpartiesshouldbrazilhaveadatadrivenmethodtoassessandreducefragmentationinmultipartypoliticalsystems
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Correction: How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems.

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