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tna: An R Package for Transition Network Analysis.

Santtu Tikka1, Sonsoles López-Pernas2, Mohammed Saqr2

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|June 9, 2025
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Summary
This summary is machine-generated.

This study introduces the R package tna for transition network analysis (TNA). It helps researchers understand educational transitions by modeling temporal and relational dynamics between states.

Keywords:
Markov modelsR packagecomplex dynamic systemslearning analyticssequence analysissocial network analysistnatransition network analysis

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Area of Science:

  • Educational research
  • Network analysis
  • Sociology

Background:

  • Understanding educational transitions is crucial for studying learning, motivation, and social dynamics.
  • Existing methods may not fully capture the temporal and relational complexity of these transitions.

Purpose of the Study:

  • To introduce the R package tna, a novel tool for transition network analysis (TNA).
  • To provide a comprehensive framework for analyzing the dynamics of transitions in educational research.

Main Methods:

  • The study implements the R package tna, offering procedures for TNA model estimation.
  • It includes functions for building transition networks, identifying patterns, and computing centrality measures.
  • Network visualization and statistical assessments for group differences and transition importance are also provided.

Main Results:

  • The tna package facilitates robust analysis of educational transition dynamics.
  • It enables detailed examination of temporal and relational aspects of state changes.
  • The package supports statistical comparisons and assessment of transition significance.

Conclusions:

  • The R package tna offers a unified and powerful framework for educational transition network analysis.
  • This tool enhances the ability to investigate complex dynamics in learning, motivation, and social interactions.
  • The package provides researchers with advanced methods for network construction, analysis, and statistical validation.