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This study introduces a novel methodology for research exploration, identifying mathematical models for territorial alignment in health services. It combines social network, longitudinal, and mapping change analyses for improved insights.

Keywords:
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Area of Science:

  • Health Services Research
  • Mathematical Modeling
  • Network Analysis

Background:

  • Territorial alignment is crucial for efficient health service delivery.
  • Existing methodologies may not adequately capture dynamic changes in research fields.
  • Mathematical models are increasingly used to optimize resource allocation and service planning.

Purpose of the Study:

  • To present a new methodology for exploring research fields.
  • To identify effective mathematical models for territorial alignment in health services.
  • To demonstrate the application of combined analytical methods.

Main Methods:

  • Social Network Analysis (SNA)
  • Longitudinal Analysis
  • Mapping Change Analysis adapted for small/medium networks
  • Tabu Search optimization algorithm
  • Alluvial diagrams for visualizing temporal keyword network changes

Main Results:

  • Identification of key authors and influential mathematical models in territorial alignment research.
  • Demonstration of the mapping change method's applicability to smaller networks.
  • Visualization of significant keyword network shifts over time using alluvial diagrams.

Conclusions:

  • The proposed methodology offers a robust framework for analyzing research fields and identifying relevant mathematical models.
  • The study provides valuable insights into the evolution of territorial alignment research in health services.
  • The integration of SNA, longitudinal, and mapping change analyses enhances the understanding of complex research landscapes.