Four Logics Data
Description
This dataset provides the underlying data, calculations, and visual components necessary to replicate and extend the findings presented in the article "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025). The article proposes an integrated analytical framework for studying collective decision-making in governance, combining four adaptive macro-level belief systems (Political, Economic, Scientific, and Moral-Ethical) with network topology analysis. The framework identifies four emergent governance dynamics: Systemic Rigidity, Systemic Fragility, Negotiated Stability, and Elasticity. This dataset has five files: Supplementary_Table_S1; Supplementary_Table_S2; Supplementary_Table_S3; Supplementary_Figure_S1; Supplementary_Figures_S2_IV_Appendix. These files are organized in three folders: - Multi-Criteria Decision Analysis (MCDA) Folder: This folder contains the quantitative backbone of the framework, specifically the raw data, calculations, and sensitivity analyses used to determine the relative influence (weights) of the four governance logics (Political, Economic, Scientific, and Moral-Ethical) across the studied cases. Researchers can use these files to reproduce the weighting process detailed in Appendix I of the paper and to recreate the visual representations of the system dynamics, including the attractor landscapes presented in Figure 3 and the Logics weightings summarized in Table 2. FILES IN THE FOLDER: "Supplementary_Table_S2" and "Supplementary_Figure_S1" - Network Diagrams Folder: This folder provides data on the structural analysis of the governance system topology. It includes the quantitative output for the network analysis. The data is relevant for replicating the network properties listed in Table 1 and the information provided in Appendix IV. These files allow for the verification of how institutional topology and network structure mediate the Four Logics. FILES IN THE FOLDER: "Supplementary_Table_S1" and "Supplementary_Figures_S2_IV_Appendix" - Case Studies Folder: This folder contains the synthesized data derived from the literature review on the five historical crises examined in the article (Chernobyl Nuclear Accident, the Partition of India, the Ethiopian Famine, the War on Terror, and COVID-19). This data serves as the foundation for detailing the initial variables, actor preferences, and observed institutional configurations that informed the MCDA and network modeling for each case. FILE IN THE FOLDER: "Supplementary_Table_S3" The files in the MCDA folder allow users to reproduce the Logic weighting process. The data in the Network Diagrams folder can be used in conjunction with standard network analysis software (e.g., Gephi, R with igraph) to verify the network properties and centrality measures reported in the paper. The Case Studies files provide the structured qualitative input for those seeking to apply the framework to new cases.
Files
Steps to reproduce
To facilitate the reproduction and extension of the results presented in "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025), follow these steps corresponding to the three data folders: 1. Reproducing Logic Weighting (MCDA) Location: Files within the Multi-Criteria Decision Analysis (MCDA) Folder. Action: These files (likely spreadsheets or calculation scripts) contain the raw input matrices and the application of the chosen MCDA method, as defined in Appendix I of the paper, to derive the weights of the four Logics for each case. Verification: Users can reproduce the final weights shown in Table 2 and verify the sensitivity analyses that underpin the attractor landscapes displayed in Figure 3 by running the MCDA calculations using the provided input data. Software Requirement: Standard spreadsheet software (e.g., Microsoft Excel, Google Sheets) or specialized MCDA software, depending on the format of the files. 2. Verifying Network Properties (Network Diagrams) Location: Source files within the Network Diagrams Folder. Action: These files (likely .csv, .graphml, or .txt format) contain the node lists, edge lists, and/or adjacency matrices used to model the institutional topology for each case. Verification: Import these source files into standard network analysis software (such as Gephi, R (using the igraph package), or Python (using NetworkX)). Run standard network metrics calculations to verify the reported properties, including Betweenness Centrality, network integration, and clustering coefficients. This will reproduce the data listed in Table 1 and Appendix IV.Software Requirement: Network analysis software (e.g., Gephi, R/igraph, Python/NetworkX). 3. Replicating Case Operationalization (Case Studies) Location: Structured data files within the Case Studies Folder. Action: These files provide the foundation for applying the framework. They contain the structured qualitative data used to define the actors, their initial preferences, and the characteristics of the institutional network for each of the five historical crises. Reuse: Researchers can utilize the format and structure of this data as a template to operationalize variables when applying the "Four Logics of Governance" framework to entirely new governance cases.