Citation Agents: A model of collective learning through scientific publication 1.0.0

Simulates the construction of scientific journal publications, including authors, references, contents and peer review. Also simulates collective learning on a fitness landscape. Generates distributions, including power law distributions for papers per author and citations per paper, as seen in bibliometric data. Generates networks, including co-authorship and collaboration. Performs heuristic search on a Kauffman NK fitness landscape, effectively making the scientist authors a form of swarm optimisation. Described in the paper: Watts, Christopher & Nigel Gilbert (forthcoming) "Does cumulative advantage affect collective learning in science? An agent-based simulation", Scientometrics.
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