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;
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01832902
Contributor : Nicolas Jullien <>
Submitted on : Monday, July 9, 2018 - 10:47:19 AM
Last modification on : Wednesday, March 20, 2019 - 11:50:09 AM

File

clustering-approach-infer_open...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NoDerivatives 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

89

Files downloads

155