Overview
Citation network analysis fails when it produces visualizations without insights. A network diagram with 500 nodes and 2000 edges is impressive but useless if it does not answer a research question. The diagram shows which papers cite which other papers, but it does not identify the research gaps, the influential papers that shaped the field, or the emerging clusters that represent new research directions.
The Citation Network Analysis Framework Prompt builds a network analysis process that produces actionable insights — identifying the papers that are most central to the field, detecting clusters of related research, and revealing the gaps where no papers exist but should.
What you get: - Network construction protocol: how to build a citation network from a reference list - Centrality metric calculation: the four metrics that identify influential papers - Cluster detection algorithm: how to identify research communities within the network - Gap identification method: the analysis that reveals under-researched areas - Temporal analysis: how to track how the network evolved over time - Visualization standards: the diagram specifications that make networks interpretable
Built for: researchers conducting literature reviews, identifying research gaps, and mapping research fields.