A clustering approach to infer Wikipedia contributors' profile

Shubham Krishna (shubhamkrishna@am.ism.ac.in), Romain Billot (romain.billot@imt-atlantique.fr) and Nicolas Jullien
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Romain Billot: Lab-STICC_IMTA_CID_DECIDE - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]

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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;

Keywords: Online communities; clustering; user proole; Wikipedia (search for similar items in EconPapers)
Date: 2018-08-22
Note: View the original document on HAL open archive server: https://hal.science/hal-01832902v1
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Published in OPENSYM'18, Nicolas Jullien, Aug 2018, Paris, France. ⟨10.1145/3233391.3233968⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01832902

DOI: 10.1145/3233391.3233968

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