Given the communication graph and its sub-communities, return the ids of unique boundary spanners towards another sub-community, generation this smell. For conceptual details please see references.
community_smell_radio_silence(mail.graph, clusters)
mail.graph | A uni-modal network G = (V,E), where V are developers (authors or contributors) and E is a collaboration between developers in the mailing list |
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clusters | Clusters obtained via community detection of mail.graph network. |
D. A. Tamburri, F. Palomba and R. Kazman, "Exploring Community Smells in Open-Source: An Automated Approach" in IEEE Transactions on Software Engineering, vol. 47, no. 3, pp. 630-652, 1 March 2021, doi: 10.1109/TSE.2019.2901490.
Simone Magnoni (2016). An approach to measure Community Smells in software development communities. (Doctoral dissertation, Politecnico Milano).