Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Complex Network Analysis Techniques
Abstract
This dataset accompanies the study “Effects of persona attribute correlations and network assortativity on information diffusion in large language model simulations.” The study used synthetic personas and fictional information events to examine how persona attribute dependence and income-group network assortativity affect simulated information diffusion. Three independent blocks comprised 48 experimental conditions. Each run included 384 agents and lasted eight rounds. The simulations used qwen3:8b through Ollama. The analysis archive contains outcome tables, synthetic population and network inputs, configuration records, code snapshots, semantic samples, and records of the documented recovery from a service interruption. The summary files support the figures and descriptive comparisons reported in the manuscript.
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