Dataset for "Hierarchical Balance Theory: Emergence of Instability in Follower Layer Below Critical Temperatures" (Phys. Rev. E)

This dataset supports the manuscript titled "Hierarchical Balance Theory: Emergence of Instability in Follower Layer BelowCritical Temperatures" submitted to Physical Review E. It contains the simulation data and analytical results used to generate the key figures in the paper. Contents Figure 2: Ensemble-averaged and individual-run energy data for both leader (first layer) and follower (second layer) networks under two types of initial conditions (all-positive and random). Includes data from both heating and cooling processes, and multiple simulation runs. README included to explain file naming conventions and mapping to figure panels. Figure 3: Critical temperature comparisons for both network layers across initial conditions. README explains the logic behind filenames and the structure of the data. Figure 4 (Analytical vs. simulation comparison): Simulated and mean-field values for the energy and two-star structure of both layers. Simulation data provided alongside a description of how mean-field results were generated. File Format All data is provided in .txt format. Figures and panels are labeled using a clear file naming convention (explained in each folder's README.txt). Contact For any questions regarding the dataset, please contact: Amir [e-mail]