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The grand old party - a party of values?

Mair P, Rusch T, Hornik K - Springerplus (2014)

Bottom Line: In this article we explore the semantic space spanned by self-reported statements of Republican voters.Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party.With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology WJH 968, Harvard University, 33 Kirkland St, 02138 Cambridge, MA USA.

ABSTRACT
In this article we explore the semantic space spanned by self-reported statements of Republican voters. Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party. With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

No MeSH data available.


Top panel: full network with two big communities. Bottom panel: two small network communities.
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Fig4: Top panel: full network with two big communities. Bottom panel: two small network communities.

Mentions: By using the network approaches described above, we are able to discover 182 communities in total, of varying sizes. First, we consider the two largest communities that have 73 and 64 nodes, respectively. The top panel in Figure4 shows the full network plot with the big community overlay. For better readability the big communities with the node labels (i.e. words) are given in a separate plot (see Figure5). The bottom panel of Figure4 shows two interesting small communities.Figure 4


The grand old party - a party of values?

Mair P, Rusch T, Hornik K - Springerplus (2014)

Top panel: full network with two big communities. Bottom panel: two small network communities.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4256162&req=5

Fig4: Top panel: full network with two big communities. Bottom panel: two small network communities.
Mentions: By using the network approaches described above, we are able to discover 182 communities in total, of varying sizes. First, we consider the two largest communities that have 73 and 64 nodes, respectively. The top panel in Figure4 shows the full network plot with the big community overlay. For better readability the big communities with the node labels (i.e. words) are given in a separate plot (see Figure5). The bottom panel of Figure4 shows two interesting small communities.Figure 4

Bottom Line: In this article we explore the semantic space spanned by self-reported statements of Republican voters.Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party.With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology WJH 968, Harvard University, 33 Kirkland St, 02138 Cambridge, MA USA.

ABSTRACT
In this article we explore the semantic space spanned by self-reported statements of Republican voters. Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party. With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

No MeSH data available.