The use of network analysis to handle semantic differential data

Giuseppe Giordano () and Ilaria Primerano ()
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Giuseppe Giordano: University of Salerno
Ilaria Primerano: University of Salerno

Quality & Quantity: International Journal of Methodology, 2018, vol. 52, issue 3, No 14, 1173-1192

Abstract: Abstract The aim of this paper is to propose a method to transform semantic differential data into a network whose graph representation is interpreted as an empirical network of adjectives. The graph is constituted by the adjectives of the semantic differential task. Two adjectives are linked depending on the scoring assigned by a set of respondents. The proposed approach aims at using concepts and methods of Social Network Analysis to explore the network structure and study roles and positions of dominant adjectives. A simulation design has been realized to assess the stability of results under different conditions, i.e. in order to set the optimal threshold in presence of different data generator processes. A case study carried out on real data shows how the emerging network of adjectives can be effectively used to define the concept arising from a semantic differential task.

Keywords: Connected component; Network of adjectives; Semantic space; Weighted network (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11135-017-0511-x

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