PolyGraphs simulation output for the lesson "Introducing PolyGraphs"

Cleaned output data from PolyGraphs simulations, prepared for Part 2 of the lesson "Introducing PolyGraphs: Running Philosophical Simulations and Analyzing Synthetic Data" (https://github.com/nulcpl/polygraphs-lesson). The archive cleaned_data_v3_pt.tar.gz (about 2 GB compressed) unpacks into a folder cleaned_data_v3_pt whose unique_runs sub-directory holds one PolyGraphs results folder per simulation. The simulations model opinion formation in communities of 64 agents over up to 100,000 steps under the trust, scepticism, misinformation and disinformation operations, on random (Erdős-Rényi), Barabási-Albert and Watts-Strogatz networks. All data are synthetic and contain no personal information. Unpack with: tar -xzf cleaned_data_v3_pt.tar.gz The lesson explains how to load and analyze the data with the PolyGraphs Processor class.