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Mapping "Organizing": Visual Tools Reveal Research Gaps in Political Action
Insights from the Field
literature mapping
visualization
organizing
political action
methodology
Methodology
PS
4 Text
Dataverse
Visualizing Scientific Landscapes: A Powerful Method for Mapping Research Fields was authored by Aya Shoshan and Jennifer Oser. It was published by Cambridge in PS in 2025.

🔍 What This Study Does

This paper asks how political science scholars can use visualization and mapping tools to sharpen research on complex theoretical concepts. It notes that literature mapping—a powerful method commonly used in the natural sciences—is not yet widely used in political science, and illustrates the method by analyzing visual maps of academic research on the term "organizing" in the context of political action.

🛠️ How the Maps Were Generated (A Multistep Approach)

The paper describes a multistep methodological approach for producing literature maps from the body of work on "organizing." The approach covers the stages required to move from the corpus of academic material to visual representations of the scientific landscape and explains how those maps can be interpreted.

📌 Key Findings From the Maps

  • Visual maps expose major thematic clusters in research on "organizing."
  • Maps highlight potential gaps where scholarship is thin or fragmented.
  • Canonical literature and influential works become identifiable through structural patterns in the maps.
  • Levels of dialogue across research areas vary, with some subfields showing dense cross-citation and others remaining isolated.

đź’ˇ Why This Matters and What Comes Next

  • Literature mapping offers a practical tool for diagnosing the shape of a research field and guiding future inquiry.
  • The method opens avenues for future research, including applying mapping to other political concepts, comparing disciplinary conversations, and refining mapping techniques to better capture theoretical and empirical linkages.

These takeaways demonstrate how visualizing scientific landscapes can produce actionable insights about themes, gaps, canonical texts, and cross-field dialogue in political science.

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