Views provided by UsageCounts
This dataset was analyzed and produced during the study described in the paper "Understanding and Predicting Edit War Articles on Wikipedia" (under review, doi and link follows - see references). Its creation process and use cases are described in the dedicated paper. For directions and code to process and evaluate this data, please see the corresponding GitHub repository: https://github.com/ruptho/editlinkquality-wikipedia. We provide three subsets for 4800 Wikipedia articles (in .pkl format): The "article_revisions_labeled.pkl" file provides the final, semantically labeled revisions for each analyzed article per quality category. The "article_revision_features.zip" file contains processed per-article features, divided into folders for the specific quality categories they belong to. In "article_revision_features_raw.zip", we provide the raw features as retrieved via RevScoring API (https://pythonhosted.org/revscoring/).
{"references": ["Understanding and Predicting Edit Wars on Wikipedia (2020, Under Review). Thorsten Ruprechter, Tiago Santos, Denis Helic. Applied Network Science."]}
Wikpedia, Article Edits, Multi-label classification, Semantic Labels
Wikpedia, Article Edits, Multi-label classification, Semantic Labels
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 |

Views provided by UsageCounts