- Code: available on github.
- Data: Wikipedia
"A People Map of the US, where city names are replaced by their most Wikipedia’ed resident: people born in, lived in, or connected to a place."
"The tool renders Wikipedia content in a 3-dimensional, web-based cartographic environment. The map acts as a medium that enables the discovery and exploration of articles in a manner that explicitly associates geography and information."
"While not perfect, Wikipedia traffic serves as a solid proxy for the ebb and flow of a celebrity’s cultural relevance."
"Encartopedia helps locate yourself, or to be more precise, locate the subject matter of your curiosity within the universe of Wikipedia articles."
"Wikipedia can tell us more than is written on its pages. ... In the paper we proposed a new method for patterns detection in large-scale dynamic graphs. We applied the method to the Wikipedia datasets. We have managed to detect dynamical patterns in terms of events and collective memories in Wikipedia using the combination of the hyperlinks graph and the visitor activity on the website."
"An exhaustive knowledge of the evolutionary relationships linking all organisms (the whole biodiversity) would produce a tree-like structure, referred to as the Tree of Life (ToL)."
"In this project, I intended to explore knowledge diversity across the different language versions of one and the same article on Wikipedia."
"The visualization explores how different languages present Van Gogh's work and life by images."
"Miles Davis’ legacy, represented by every Wikipedia page that mentions him."
"Chronas is a history project linking Wikipedia and Wikidata with a chronological and cartographical view."
"Wikipedia is a gold mine of lists, lists of lists and even lists of lists of lists. One of these lists of lists happens to be Billboard’s Hot 100 songs which allows us to browse Wikipedia’s data pretty easily."
"The history of the world in famous people’s lifespans."
"Enter the titles of Wikipedia articles to view a map of the locations of each edit."
"Enter the titles of Wikipedia articles to view a map of the locations of each edit."
"Omnipedia highlights the similarities and differences that exist among the language editions, making salient information that is unique to each language as well as that which is shared more widely."
A simple and familiar dashboard of edit rates to various wikis, including Wikipedia and Wikidata.
"Each graphic represents the history of a single article. Time moves from left to right. The varying heights of the coloured section of represent how many lines an article had at each point in time. Articles typically start short and become longer over the years."
"Each graphic represents the history of a single article. Time moves from left to right. The varying heights of the coloured section of represent how many lines an article had at each point in time. Articles typically start short and become longer over the years."
"Histography is interactive timeline that spans across 14 billion years of history, from the Big Bang to 2015. The site draws historical events from Wikipedia and self-updates daily with new recorded events."
"While Wikipedia is a most modern creation, its content reflects a historical accumulation of facts and attention. This map of London shows the density of articles in Wikipedia associated with locations in London."
"Taha Yasseri of the Oxford Internet Institute and colleagues looked at Wikipedia’s different language editions from their inception (January 2001 for English) to March 2010 and ranked the most contested articles, based on the number of reverts and the number of edits the contributors have made (dubbed their “maturity score”)."
"This visualisation shows the distribution of the 10,568,679 items on Wikipedia, sorted by type."
"Which were the most visited pages during 2013? Which were the most edited? What’s the overall picture of one year of history looked through Wikipedia?"
"The colorful history flow diagrams take a lengthy edit history and turn it into a picture."
"Originally created as a means to explore Wikidata's subclass hierarchy, Wikidata Spiral proved to be more useful in visualizing art. "
"creates an on-demand color-markup of the original authors of the text of any article on the (english) wikipedia."
"This is a visualization prototype for large datasets of spacio-temporal data from Wikidata. Events for a selected time-interval are shown as aggregate points in a map like fashion."
"Each box is a cluster of related Wikipedia pages... like the continent of a world map."
"Wikipedia is an influential mirror on society, a means through which we understand our world. Wikipedia also has gaps that we can all work to fill. How are women faring?"
"Here we use the structure of the networks connecting multilingual speakers and translated texts, as expressed in book translations, multiple language editions of Wikipedia, and Twitter, to provide a concept of language importance that goes beyond simple economic or demographic measures."
Explore Wikipedia in 3D space by drifting through a galaxy of articles. Each dot is a Wikipedia article, and their connections form constellations.
"My hope is that Wikipedia stays around for a while so that we can look at 50 years of a topic so can really see from childhood on."
"Language represents our view of the world, and knowing its limits helps us understand how our perception works."
"Is there a correlation between the population of a place and the number of hyperlinks on a Wikipedia page?"
"The motivation of this page is to get a little more oversight of the facts and connections which are part of the Wikipedia. To get the birds eye view of Wikipedia we have to focus a part of of the whole we want to focus. This focus should describes a field of articles that interrelate."
Using geocordinate data from Wikipedia articles, this interactive 3d globe illustrates the concentration of coverage in nine language editions of Wikipedia.
"...I wanted to get a picture not only of what Wikipedia articles pointed at the Paris Review, but also Paris Review interviews which were not referenced in Wikipedia. So I wrote a little crawler that collected all the Paris Review interviews, and then figured out which ones were pointed at by English Wikipedia."
Using Wikipedia's API, WikiChanges charts and compares revision activity of articles over time, offering insights into the editing patterns of contributors and the attentions of the masses.
Community interaction on Wikipedia, based on user communication on on talk pages. The graph is built with Gephi, showing 10,0000 connections between users.
"These links indicate individuals who have co-edited many pages together on Wikipedia. We use a custom weighting technique, and filter down to the core editors (in every language except Egyptian Arabic and Swahili where we use everyone). The fact that this core is so well connected indicates the coherence of the Wikipedia community."
"At the global scale (in an article that we currently have under review), we found that the number of Wikipedia articles within (or describing) a country can be explained to a large degree by just three factors: (1) the size of its population, (2) the number of its fixed broadband internet connections, and (3) the number of edits committed to Wikipedia by its population."
"I am a highly visual person. When I have to learn something new, I usually first try to make a sketch of the structure of the knowledge that I want (or have to ;-)) to study. This usually results in diagrams outlining the material, giving it some structured form that makes it easier for me to grasp. "
"In this case the nodes in the network are wikipedia articles and the edges are the links between articles. We then ... used an algorithm to lay out all 650,000 nodes (wikipedia articles) that had at least one link in such a way that similar articles are near one another. These are the yellow dots, which when viewed at low res give a yellow tint to the whole picture."
"First, this study introduces the Flow Circle, which is a new exploratory data analysis tool devised to solve such problems of History Flow. Second, this tool is used to actually visualize the Wiki revision history regarding gun politics in order to understand and analyze the flow of the revision history and the relationship and conflict structures between the authors based on the results of the MDS analysis."
"A while ago, Wikipedia introduced georeferences. Georeferences are a way to annotate geographic landmarks, borders, [and] cities within Wikipedia articles ... Wikipedia Worldview is an app to project Wikipedia georeferences onto a 2D plane, intended to analyze the language-based distribution."
"The clustering component of this visualization is vital. The mere presence of information isn't all that interesting; there is no context or relevance to be gleaned. However, the structure of information is revealing about where fields intersect and diverge, and ultimately about how humans organize information."
"We analyzed and visualized Article for Deletion (AfD) discussions in the English Wikipedia. The visualization above represents the 100 longest discussions that resulted in the deletion of the respective article. "
"Since geography is never far from history, a lot of maps show the colonial past of many countries. As ethnic groups don’t always fall inside political borders, several maps reveal the presence of multiple ethnic or cultural groups within a country or of groups stretching across borders."
"Elle permet d'explorer les monuments historiques du monde entier."
"Wikistream is a Node.js webapp for helping visualize current editing activity in Wikipedia. It uses Node.js, socket.io and Redis to sit in the wikimedia IRC chat rooms (where updates are published), and makes them available on the Web in realtime."
"Using the gender api that I discovered in this project, I wanted to see the relations between the proportion female/male editing and article and its content."
"Wikistalker, inspired by ‘Web Stalker‘, is a way of understanding a concept by only seeing the visualization of the meta-structure of its Wikipedia article."
This is a collection of our favorite visualizations, infographics, and other projects built on open data from Wikipedia and other Wikimedia projects, curated by Stephen LaPorte and Mahmoud Hashemi. Source code and more details about this page are available on Github.
If you know other cool Wikipedia-based projects, please submit a link.
Not all of the projects have their source code or data posted online. If you have more information about any of these porjects, please get in touch. We'd love to hear more.
Check out more Wikipedia data, too.