Community structure in the United Nations General Assembly

We study the community structure of networks representing voting on resolutions in the United Nations General Assembly. We construct networks from the voting records of the separate annual sessions between 1946 and 2008 in three different ways: (1) by considering voting similarities as weighted unip...

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Main Authors: Macon, K, Mucha, P, Porter, M
Format: Journal article
Language:English
Published: 2012
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author Macon, K
Mucha, P
Porter, M
author_facet Macon, K
Mucha, P
Porter, M
author_sort Macon, K
collection OXFORD
description We study the community structure of networks representing voting on resolutions in the United Nations General Assembly. We construct networks from the voting records of the separate annual sessions between 1946 and 2008 in three different ways: (1) by considering voting similarities as weighted unipartite networks; (2) by considering voting similarities as weighted, signed unipartite networks; and (3) by examining signed bipartite networks in which countries are connected to resolutions. For each formulation, we detect communities by optimizing network modularity using an appropriate null model. We compare and contrast the results that we obtain for these three different network representations. We thereby illustrate the need to consider multiple resolution parameters and explore the effectiveness of each network representation for identifying voting groups amidst the large amount of agreement typical in General Assembly votes. © 2011 Elsevier B.V. All rights reserved.
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spelling oxford-uuid:78020143-40b3-44ef-af80-a236e8b5287c2022-03-26T20:27:57ZCommunity structure in the United Nations General AssemblyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:78020143-40b3-44ef-af80-a236e8b5287cEnglishSymplectic Elements at Oxford2012Macon, KMucha, PPorter, MWe study the community structure of networks representing voting on resolutions in the United Nations General Assembly. We construct networks from the voting records of the separate annual sessions between 1946 and 2008 in three different ways: (1) by considering voting similarities as weighted unipartite networks; (2) by considering voting similarities as weighted, signed unipartite networks; and (3) by examining signed bipartite networks in which countries are connected to resolutions. For each formulation, we detect communities by optimizing network modularity using an appropriate null model. We compare and contrast the results that we obtain for these three different network representations. We thereby illustrate the need to consider multiple resolution parameters and explore the effectiveness of each network representation for identifying voting groups amidst the large amount of agreement typical in General Assembly votes. © 2011 Elsevier B.V. All rights reserved.
spellingShingle Macon, K
Mucha, P
Porter, M
Community structure in the United Nations General Assembly
title Community structure in the United Nations General Assembly
title_full Community structure in the United Nations General Assembly
title_fullStr Community structure in the United Nations General Assembly
title_full_unstemmed Community structure in the United Nations General Assembly
title_short Community structure in the United Nations General Assembly
title_sort community structure in the united nations general assembly
work_keys_str_mv AT maconk communitystructureintheunitednationsgeneralassembly
AT muchap communitystructureintheunitednationsgeneralassembly
AT porterm communitystructureintheunitednationsgeneralassembly