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Party Nexus Position Generator: New tool for the measurement of political homophily and political network diversity
[journal article]
Abstract The role of networks has been growing attention in recent decades in explaining political behaviour. Political nexus aspects also get on the agenda in studying various resources of status attainment. Despite the general realization of these relevant network implications, some conceptual and measurem... view more
The role of networks has been growing attention in recent decades in explaining political behaviour. Political nexus aspects also get on the agenda in studying various resources of status attainment. Despite the general realization of these relevant network implications, some conceptual and measurement issues are still debatable. In this paper, we introduce a new tool for measuring political acquaintanceship networks, the Party Nexus Position Generator (PNPG). We will show how one of the most widely used SNA-instruments, the technique of position generator, could be transformed to apply for the measurement of political networks. We tested the tool in two countries, Germany and Hungary, with surveys administered by different methods: online and face-to-face. The presentation of findings on German and Hungarian political networks may help us understand how the broader settings affect the composition of political networks and their influences on political behavior. Results from two different countries may also contribute to assess the validity of the PNPG tools introduced by our study.... view less
Keywords
Hungary; Federal Republic of Germany; party; validity; political behavior; network; group formation
Classification
Political Process, Elections, Political Sociology, Political Culture
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
nexus; position; generator; political nexus diversity; political homophily; Langfrist-Online-Tracking T27 (GLES) (ZA5727)
Document language
English
Publication Year
2022
Page/Pages
p. 112-125
Journal
Social Networks, 70 (2022)
DOI
https://doi.org/10.1016/j.socnet.2021.11.011
ISSN
0378-8733
Status
Published Version; peer reviewed