Evolution of Research Clusters

Article Distribution per Year



Most Frequent Discipline Tags

Most Represented Countries

Most Represented Journals



Most Frequent References in Bibliographies

An Interactive Appendix for 'The Trust Game: A Historical and Methodological Analysis on the Frontier of Experimental and Behavioral Economics'

About the Article

Authors: Camilotto Nicolas

Abstract:

This paper provides a life-cycle analysis of the Trust Game, using its trajectory as a lens to clarify the boundaries between experimental and behavioral economics. We first trace its 1995 creation by Berg et al. as a challenge to calculative trust paradigms. A bibliometric study then maps its diffusion, revealing two divergent paths in economics: one, rooted in experimental economics, prioritizes measurement; the other, in behavioral economics, theory-testing. These paths differ in methods and validity standards, constituting an epistemic divide that illuminates the fields' evolving relationship.

How to cite this work:

TBD. Journal Name, Volume (Issue), pages.

DOI: TBD

How to Use This Interactive Appendix

This web application is designed to provide an interactive exploration of the research clusters discussed in our paper. It allows you to dynamically filter and view the data behind the figures.

Navigate to the Alluvial Explorer tab to begin. You will find:

  • Overall View: Provides a global perspective on the entire corpus of articles, showing distributions by year, discipline, country, and journal.
  • Cluster View: Allows you to select a specific research cluster from the dropdown menu. All plots and tables will then dynamically update to reflect only the articles belonging to that cluster. This is useful for in-depth analysis of a particular research stream.

Code, Data, and Contact

We believe in open and reproducible science. All resources related to this project are publicly available.

  • Shiny App Code: The source code for this interactive application is available on GitHub.
  • Data Processing Code: The scripts used for data collection and preparation are available in a separate repository on GitHub.
  • Data Source: The bibliographic data was extracted from the Web of Science Core Collection. A processed version of the data used in this app is available at https://doi.org/10.17605/OSF.IO/ZE2MC.
  • Contact: For any questions, suggestions, or issues, please contact Nicolas Camilotto at ncamilotto@gmail.com.