Computational Model Library

Citation Agents: A model of collective learning through scientific publication (version 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.

Release Notes

This version was used to generate the data behind all charts included in the Scientometrics paper.

A later version, which runs in Netlogo 5.1, was developed for our 2014 book, “Simulating Innovation”. Download it from here:
A version in Excel 2003/VBA is also available from the book’s site.

Download Version 1.0.0
Version Submitter First published Last modified Status
1.0.0 Christopher Watts Fri Jul 31 08:49:28 2015 Fri Jul 31 08:49:28 2015 Published


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