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Network Analysis Methods for Classification of Roles

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Classification, (Big) Data Analysis and Statistical Learning

Abstract

This paper concerns network analysis (NA) methods employed to classify role profiles based on the measurement and the specification of linking structures among pupils in infant school. With this aim, we measure sociometric status by the direct observation of preschool children behaviours. The data have been collected by a longitudinal observational study. We follow the children in seven waves for 2 months. In this study, we measure relational skills of subjects applying three procedures: The regular equivalence is used to detect similar positions within the network, the lambda sets to observe the ability to be intermediary and the cliques to assess the propensity to belong to a group. Concerning each analytic dimension, the results show an increase of relational competence and an association with ego-network measures.

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Author information

Authors and Affiliations

  1. Department of Political and Social Sciences, University of Catania, Vitt. Emanuele II 8, 95131, Catania, Italy

    Simona Gozzo & Venera Tomaselli

Authors
  1. Simona Gozzo
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  2. Venera Tomaselli
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Corresponding author

Correspondence to Venera Tomaselli .

Editor information

Editors and Affiliations

  1. Department of Business and Economics, University of Cagliari, Cagliari, Italy

    Francesco Mola

  2. Department of Business and Economics, University of Cagliari, Cagliari, Italy

    Claudio Conversano

  3. Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy

    Maurizio Vichi

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Gozzo, S., Tomaselli, V. (2018). Network Analysis Methods for Classification of Roles. In: Mola, F., Conversano, C., Vichi, M. (eds) Classification, (Big) Data Analysis and Statistical Learning. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55708-3_6

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