Open AccessHodgeRank as a quantitative tool in social representations theory
Author(s) -
Ana Lúcia Pereira,
José T. Lunardi,
Marcos Calçada,
Viviane Aparecida Bagio
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1391/1/012114
Subject(s) - evocation , representation (politics) , ranking (information retrieval) , object (grammar) , computer science , measure (data warehouse) , natural language processing , term (time) , artificial intelligence , cognitive psychology , information retrieval , linguistics , psychology , data mining , sociology , philosophy , physics , quantum mechanics , politics , anthropology , political science , law
HodgeRank is a technique proposed by Jiang et al that provides a way for ranking data elements based on the relative importance that individuals associate to them. This technique has the advantage of working fine with incomplete and imbalanced data, besides providing a measure for the inconsistencies of the outcome. In this work we propose to use HodgeRank as a complementary quantitative tool for analysing the content and the structure of a Social Representation, in which data are spontaneous evocation of words or phrases by a group of individuals; such words or phrases are induced by a term which constitutes the object of the representation under study.