Mapping the complexity of political ideology using emergent networks: the Chilean case

We propose a method to characterize political ideology using network theory. Our analysis is based on the 2015–2016 Chilean constituent process, where self-convened meetings were held throughout the country to discuss which Values, Rights, Duties, and Institutions should be included in the new const...

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Bibliographic Details
Main Authors: Couyoumdjian, J.P (Author), Fuentes-Bravo, C. (Author), Raveau, M.P (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Online Access:View Fulltext in Publisher
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008 220425s2022 CNT 000 0 und d
020 |a 23648228 (ISSN) 
245 1 0 |a Mapping the complexity of political ideology using emergent networks: the Chilean case 
260 0 |b Springer Science and Business Media Deutschland GmbH  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1007/s41109-022-00459-x 
520 3 |a We propose a method to characterize political ideology using network theory. Our analysis is based on the 2015–2016 Chilean constituent process, where self-convened meetings were held throughout the country to discuss which Values, Rights, Duties, and Institutions should be included in the new constitution. Using this unique dataset, co-occurrence networks were constructed by considering the concepts selected in different meetings. The nodes are the concepts, and a link between two nodes represents the association between them. Political ideology is thus analyzed as an emergent network, and we can identify the main ideological communities in Chile and describe their characteristics. Beyond the local results, the proposed methodology enables representing the diversity of a community’s political orientations in a realistic ecological context. © 2022, The Author(s). 
650 0 4 |a Latin american politics 
650 0 4 |a Networks 
650 0 4 |a Political ideology 
700 1 |a Couyoumdjian, J.P.  |e author 
700 1 |a Fuentes-Bravo, C.  |e author 
700 1 |a Raveau, M.P.  |e author 
773 |t Applied Network Science