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A clustering approach to infer Wikipedia contributors' profile

Abstract : Recent studies have improved our knowledge about the different types or prooles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these prooles with good accuracy and stability. is suggests that light monitoring of newcomers may be suucient to adapt the interaction with them and to increase the retention rate. CCS CONCEPTS • Human-centered computing → Empirical studies in collaborative and social computing;
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https://hal.archives-ouvertes.fr/hal-01832902
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Submitted on : Monday, July 9, 2018 - 10:47:19 AM
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Shubham Krishna, Romain Billot, Nicolas Jullien. A clustering approach to infer Wikipedia contributors' profile. OPENSYM'18, Nicolas Jullien, Aug 2018, Paris, France. ⟨10.1145/3233391.3233968⟩. ⟨hal-01832902⟩

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