Simulation outputs for "Individual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner's Dilemma driven by extraversion, openness, and agreeableness"

This record contains the full set of simulation outputs used in the article: Abián, D., Bernad, J., & Ilarri, S. (2025).Individual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner’s Dilemma driven by extraversion, openness, and agreeableness.Journal / preprint server, volume(issue), pages.DOI: TODO_INSERT_ARTICLE_DOI The dataset comes from an agent-based model of a dynamic-network Prisoner’s Dilemma in which three continuous personality traits shape social behaviour: Extraversion sets each agent’s target number of concurrent partners; Openness controls how often agents search beyond friends-of-friends for new partners; and Agreeableness sets a baseline tendency to cooperate. At each interaction, agents blend this baseline with partner-specific history, and network ties are endogenously formed and cut as agents adjust their neighbourhoods. The ZIP archive includes: README_dataset.md – human-readable documentation of the dataset and file structure. run_simulations_output.log – console log from running the main grid script (run_simulations.sh) in the bigthree-dynet-pd repository. grid_bigthree_dynet_pd/ – top-level directory with all simulation outputs: grid_runs_summary.csv – master index of all runs, with parameter settings, seeds, and run tags. aggregate/ – condition-level summaries across seeds (aggregated correlations, assortativity, network statistics, and panel metrics) organised in one folder per parameter combination. <run_tag>/ – one folder per simulation run (e.g. N100_T300_seed101_beta0.5_...), each containing: parameters.json – full configuration and library versions for that run. agents.csv – static agent traits and ideal degrees. agent_timeseries.csv – per-agent time series (behaviour, payoffs, network degree, etc.). correlations.csv – per-run Spearman correlations between cumulative payoff and key metrics. assortativity.csv – assortativity coefficients over time (traits, degree, and other attributes). All simulations were generated by running ./run_simulations.sh from the root of the bigthree-dynet-pd code repository, using Python (NumPy, pandas, NetworkX, SciPy). Each parameters.json file records the exact configuration and library versions needed to reproduce a given run. If you use any part of this dataset, you must cite the associated article above. You are also encouraged to cite this dataset record using the DOI and citation information provided by Zenodo: Abián, D. (2025). Simulation outputs for “Individual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner’s Dilemma driven by extraversion, openness, and agreeableness” [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17714612