Abstract
Communities of Practice services enable users that share same interests and exchange knowledge in an ongoing learning process. The Stack Overflow platform supports such communities where the majority of the content are produced by a small number of highly active users. We propose an agent-based model of a Community of Practice exhibiting a social dynamics which is compliant with this insight.
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Notes
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The variances are small enough to maintain the shape of the power law type distribution for the mean number of posts published per period.
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Acknowledgment
We thank Koboyoda Arthur Assima and Audrey Dewaele for their contribution on the data analysis and Jarod Vanderlynden for his work about the state-of-the-art.
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Chaoui, A., Delarre, S., Eloire, F., Morge, M., Nongaillard, A. (2022). Toward an Agent-Based Model of Community of Practice: Demonstration. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_39
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