Studying coincidences with network analysis and other multivariate tools
Abstract. In this article, I introduce a new user-written command (coin) to study
data structures. coin is founded on a combination of statistical and
social network analyses. The purpose of this procedure is to ascertain the most
frequent events in a given set of scenarios and to study the relationships
between them. coin uses a variety of procedures, such as
multidimensional scaling, principal components analysis, correspondence
analysis, biplot representations, agglomeration techniques, and network
analysis algorithms. Because of this, it works with dichotomous variables and
can be applied to the exploratory analysis of questionnaires, the study of
textual networks, the review of database contents, and the comparison of
different statistical analyses of interdependence.
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Modesto Escobar
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coin, coincidence analysis, multivariate analysis, social network analysis
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