Wikipedia × Engagement14 datasets that are both from Wikipedia and tagged Engagement.
14 datasets.
A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.
A Wikipedia (English edition talk pages) dataset of 2,394,385 nodes and 5,021,410 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: False, temporal: False. Large directed temporal network of Wikipedia talk page interactions — 5M edges between 2.4M editors.. Suitable for wiki collaboration analysis, conflict detection, community detection.
A Wikipedia (French edition talk pages) dataset of 1,420,367 nodes and 2,471,501 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia French talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Chinese edition talk pages) dataset of 1,219,241 nodes and 1,735,118 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Chinese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Arabic edition talk pages) dataset of 1,095,799 nodes and 1,564,598 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Arabic talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Italian edition talk pages) dataset of 863,846 nodes and 1,661,453 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Italian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Portuguese edition talk pages) dataset of 541,355 nodes and 1,463,308 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Portuguese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (German edition talk pages) dataset of 519,403 nodes and 1,751,343 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia German talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Spanish edition talk pages) dataset of 497,446 nodes and 1,250,097 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Spanish talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Russian edition talk pages) dataset of 457,017 nodes and 919,790 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Russian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Dutch edition talk pages) dataset of 225,749 nodes and 565,477 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Dutch talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
Bipartite user–page edit networks from Wikimedia dumps, as distributed by KONECT; each edge is one edit event with its Unix timestamp. The package holds two separate networks: the French Wikinews (edit-frwikinews: 1,408 users, 25,039 pages, 193,618 edits) and the English Wikipedia (edit-enwiki, 1.75 GB: 8,116,897 users, 42,640,545 pages, 572,591,272 edits per KONECT). The node and edge counts and the analytics on this page were computed from the French Wikinews network only. Suitable for wiki collaboration analysis, editor behavior, temporal bipartite networks.
A Wikispeedia (Wikipedia-based online navigation game) dataset of 4,586 Wikipedia article nodes, 119,767 hyperlinks, and 76,193 human navigation paths, collected by West & Leskovec via the Wikispeedia online game (2008–2012). Each record contains article hyperlink graph (source → target), navigation path sequences, path duration in seconds, path length in clicks, back-click count, and optional difficulty rating (1=easy to 5=brutal). Unique dataset combining a Wikipedia hyperlink graph with 76,193 human navigation paths from an online game where players navigate from a random start article to a target article using only hyperlinks — 67.4% of paths were successfully completed.. Suitable for semantic distance estimation, human wayfinding behavior, hyperlink graph analysis, information foraging, Wikipedia structure research.
A Multiple (Wikipedia, GDELT, Google Trends) dataset of 51 weeks of cross-platform attention data across 6 regions, collected by Luke Steuber via Wikipedia API, GDELT Project, and Google Trends (2020-2025). Each record contains weekly attention scores by region, component metrics (Google Trends, GDELT, Wikipedia), and regional composite scores. A unified, weekly time-series of public attention to the United States from three independent sources, broken down by global region, enabling multi-perspective analysis of attention dynamics. Suitable for information cascade, event detection, public health monitoring, political communication, media analysis, attention tracking, regional sentiment analysis.
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