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Reviewed by Isaac Johnson "What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions" by Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, and Pierre Vandergheynst of EPFL, published at WikiWorkshop as part of The Web Conference 2020, examines what topics trend on Wikipedia (i.e. attract high numbers of pageviews) and how these trending topics ...
Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics. In the new millennium, data visualization has become an active area of research, teaching and development.
An undergraduate computer science honors thesis at Trinity University (Texas) constructs a semantic graph from 451 articles, linked to from the World War II article. [3] Ryan Tanner's goal is to produce a visualization "which allows one to quickly find and examine connections between the people, places and things described in Wikipedia".
The survey includes 200 questions about: what people were doing on Wikipedia before clicking the link to the questionnaire; how they use Wikipedia as readers ("professional" and "personal" uses); their opinion on the quality, the thematic coverage, the importance of the encyclopaedia; the making of Wikipedia (how they think it is made, if they ...
The R programming language can be used for creating Wikipedia graphs. The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools.
The authors cite the relative openness of Wikipedia pageview data, the semantic disambiguation, and absolute counts of activity in contrast to Google Trends' closed API, semantic ambiguity of keywords, and relative query share data. However, Trends data (at a weekly level) does go back to 2004, while pageview data (at an hourly level) is only ...
A visualization of musical genres related to psychedelic music, based on DBPedia data.. In a blog post titled "Graphing the history of philosophy", [1] Simon Raper of the company MindShare UK describes how he constructed an influence graph of all philosophers using the "Influenced by" and "Influenced" fields of Template:Infobox philosopher (example: Plato).
Wikipedia has been the center of a much heated and critical debate in academia pertaining to the relevance, accuracy, and effectiveness of using information found online in academic research, especially in places where information is constantly being created, revised, and deleted by people of various backgrounds, ranging from experts to curious learners.