2013
DOI: 10.1142/s0219525913500197
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Political Spaces, Dimensionality Decline and Party Competition

Abstract: We built a computational model of political party competition in order to gain insight into the effect of the decrease in the number of relevant political issues (dimensions), and the change of their relative importance, on the number of surviving political parties, their strategy performance, and the degree of political party fragmentation. Particularly, we find that when there is a dimensionality reduction (i.e., a change from a two-dimensional issue space to a one-dimensional one, or, a substantial decremen… Show more

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Cited by 5 publications
(7 citation statements)
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“…Let Var be a nonempty set of variables (intended to represent topics or issues, as in e.g. [17]). As was done in [4], for the purpose of this analysis, a socio-political theory is characterized by (and here identified with) a certain subset X ⊆ Var of issues which are relevant to the given theory.…”
Section: Case Study: the Socio-political Arenamentioning
confidence: 99%
“…Let Var be a nonempty set of variables (intended to represent topics or issues, as in e.g. [17]). As was done in [4], for the purpose of this analysis, a socio-political theory is characterized by (and here identified with) a certain subset X ⊆ Var of issues which are relevant to the given theory.…”
Section: Case Study: the Socio-political Arenamentioning
confidence: 99%
“…Applying other distance measures (e.g., Euclidean distance or the largest of the shortest paths among the network of variants) is also possible. But since attributes have different units of measure, having the firm computing the pairwise product variant dissimilarity per attribute, and figuring out the aggregated largest distance of its served variants, is a more reasonable rule (a similar approach has been used to compute preference dissimilarity in voting systems; see [49]).…”
Section: Plos Onementioning
confidence: 99%
“…In contrast, we focus on the very structure of the multi-dimensional market space. More specifically, we theorize how the number of relevant dimensions defining the market space does change (Garcia-Diaz et al 2013;Péli and Nooteboom 1999) and how such changes may trigger the emergence of new entrepreneurial populations.…”
Section: Theorymentioning
confidence: 99%
“…Aiming to further develop this embryonic demandside perspective, our feature dimensionality approach conceptualizes a market as a multi-dimensional sociocognitive space in which each feature dimension represents a critical aspect of social demand from resource holders (Garcia-Diaz et al 2013;Péli and Nooteboom 1999). This theoretical approach offers two major advantages for addressing the question of entrepreneurial population emergence.…”
Section: Introductionmentioning
confidence: 99%