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A Comparison of χ2 Metrics for the Assessment of Relational Similarities in Affiliation Networks

  • Maria Rosaria D’Esposito
  • Domenico De StefanoEmail author
  • Giancarlo Ragozini
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Factorial techniques are widely used in Social Network Analysis to analyze and visualize networks. When the purpose is to represent the relational similarities, simple correspondence analysis is the most frequent used technique. However, in the case of affiliation networks, its use can be criticized because the involved χ 2 distance does not adequately reflect the actual relational patterns. In this paper we perform a simulation study to compare the metric involved in Correspondence Analysis with respect to the one in Multiple Correspondence Analysis. Analytical results and simulation outcomes show that Multiple Correspondence Analysis allows a proper graphical appraisal of the underlying two-mode relational structure.

Keywords

Affiliation networks Correspondence analysis Social network analysis Two-mode structural equivalence 

References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Maria Rosaria D’Esposito
    • 1
  • Domenico De Stefano
    • 2
    Email author
  • Giancarlo Ragozini
    • 3
  1. 1.Department of Economics and StatisticsUniversity of SalernoFiscianoItaly
  2. 2.Department of EconomicsCa’ Foscari University of VeniceVeneziaItaly
  3. 3.Department of Political SciencesFederico II University of NaplesNaplesItaly

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