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2021 | OriginalPaper | Chapter

Virtual Encounter Simulations: A New Methodology for Generating Conflict Data

Author : Georg P. Mueller

Published in: Data Science and Social Research II

Publisher: Springer International Publishing

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Abstract

This article presents a new methodology for generating knowledge about group conflicts by the use of social surveys, which mainly inform about characteristics and values of the interviewees. The method is based on the idea of simulating virtual encounters between pairs of persons from the same and different groups in order to determine the value-conflicts between the related individuals. For a more subjective assessment of the situation, inter-group conflicts are compared with intra-group conflicts. This results in a new typology, which allows to conceptualize asymmetrical conflict. The proposed method is applied to the analysis of the national identities in the French- and German-speaking parts of Switzerland. It turns out, that the two groups have less conflict about “Swissness” than the traditional methods of analysis suggest.

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Footnotes
1
This definition can also be applied to nominal-scaled data with conflict definitions described by (2a) and (2b). In this case, it corresponds to the share of virtual encounters of persons with different opinions.
 
2
For nominal-scaled data, CA,A and CB,B are the shares of virtual encounters of persons within group A or group B, who differ with regard to their opinions: thus, the definitions (4a) and (4b) can also be applied to this type of data.
 
3
From the Eqs. (3) and (1a), or (1b), or (2a, b) follows that CB,A = CA,B.
 
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Metadata
Title
Virtual Encounter Simulations: A New Methodology for Generating Conflict Data
Author
Georg P. Mueller
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-51222-4_23

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