background preloader

Paperscape

Paperscape

http://paperscape.org/

Related:  Information visualisation & semantic web

Paperscape About Paperscape Paperscape is an interactive map that visualises the arXiv, an open, online repository for scientific research papers. Each paper is represented by a circle, with the size of a circle related to how often that paper has been cited (referred to) - a measure of its impact. The papers are clustered together according to how they reference each other i.e. share information. Visual Thinking Evolution A mind map is a diagram used to represent words, ideas, tasks, or other items linked to and arranged around a central key word or idea. Especially in British English, the terms spidergram and spidergraph are more common,[1] but they can cause confusion with the term spider diagram used in mathematics and logic. Mind maps are used to generate, visualize, structure, and classify ideas, and as an aid to studying and organizing information, solving problems, making decisions, and writing. The elements of a given mind map are arranged intuitively according to the importance of the concepts, and are classified into groupings, branches, or areas, with the goal of representing semantic or other connections between portions of information.

OWL - Semantic Web Standards Overview The W3C Web Ontology Language (OWL) is a Semantic Web language designed to represent rich and complex knowledge about things, groups of things, and relations between things. OWL is a computational logic-based language such that knowledge expressed in OWL can be exploited by computer programs, e.g., to verify the consistency of that knowledge or to make implicit knowledge explicit. OWL documents, known as ontologies, can be published in the World Wide Web and may refer to or be referred from other OWL ontologies. OWL is part of the W3C’s Semantic Web technology stack, which includes RDF, RDFS, SPARQL, etc. The current version of OWL, also referred to as “OWL 2”, was developed by the [W3C OWL Working Group] (now closed) and published in 2009, with a Second Edition published in 2012.

Github Wiki ▸ Gallery Welcome to the D3 gallery! More examples are available for forking on Observable; see D3’s profile and the visualization collection. 13 Free Sites That Offer High-Quality 2D People and Objects for Your Architecture Visualizations 13 Free Sites That Offer High-Quality 2D People and Objects for Your Architecture Visualizations October 23, 2017 Share FacebookTwitterPinterestWhatsappMail Or The Hollywood In$ider Explore data on over 1200 major Hollywood films of the last ten years. Click on the axis labels to view other data. View each year by itself. Or every single year at once.

The following graphics have been generated with the LaTeX Packages PGFPlots and PGFPlotsTable. They have been extracted from the reference manuals. PGFPlots Home [.tex] [.pdf] \begin{tikzpicture} \begin{axis}[ xmin=-3, xmax=3, ymin=-3, ymax=3, extra x ticks={-1,1}, extra y ticks={-2,2}, extra tick style={grid=major}, ] \draw[red] \pgfextra{ \pgfpathellipse{\pgfplotspointaxisxy{0}{0}} {\pgfplotspointaxisdirectionxy{1}{0}} {\pgfplotspointaxisdirectionxy{0}{2}} % see also the documentation of % 'axis direction cs' which % allows a simpler way to draw this ellipse }; \draw[blue] \pgfextra{ \pgfpathellipse{\pgfplotspointaxisxy{0}{0}} {\pgfplotspointaxisdirectionxy{1}{1}} {\pgfplotspointaxisdirectionxy{0}{2}} }; \addplot [only marks,mark=*] coordinates { (0,0) }; \end{axis} \end{tikzpicture}

10 Awesome Twitter Analytics and Visualization Tools Recently Twitter rolled out their native analytics platform for all users and now you can get some quality data about your tweets directly from Twitter. After researching over a thousand Twitter Tools for the Twitter Tools Book I came across many Twitter analytics and visualization tools. These Twitter tools were designed to add value by presenting a different way to visualize or analyze your tweets, the people in your network, and the tweets from the people in your network. Many tools tried to add value and failed. The $80 Trillion World Economy in One Chart The latest estimate from the World Bank puts global GDP at roughly $80 trillion in nominal terms for 2017. Today’s chart from HowMuch.net uses this data to show all major economies in a visualization called a Voronoi diagram – let’s dive into the stats to learn more. The World’s Top 10 Economies Here are the world’s top 10 economies, which together combine for a whopping two-thirds of global GDP. In nominal terms, the U.S. still has the largest GDP at $19.4 trillion, making up 24.4% of the world economy.

Visualizing Graphs in 3D with WebGL – neo4j I was already aware of and impressed by three.js, especially the 3d and WebGL capabilities. I had seen and done some graph visualization using it years ago, but 3d-force-graph packages three.js nicely with a Graph API and adds useful options to quickly get good looking results. If you want to try the different approaches directly, I put them into a GitHub Repository with live examples using the RawGit Service to serve HTML pages and assets directly from the repository. Datasets I started by using the Game of Thrones interaction graph, that my colleague Will Lyon wrote about here and which you can create yourself by running :play got in your Neo4j Browser. Asus Zenbook UX305 review: Verdict While the Asus UX305 doesn't break new ground in the Ultrabook scene, it's an excellent machine in almost every regard while being awfully affordable considering. It's thinner than the MacBook and, frankly, more capable to boot. It's also significantly more affordable compared to just about every competing Ultrabook.

Here Are the Real Boundaries of American Metropolises, Decided by an Algorithm When we think about where we live, usually our ideas start with political boundaries—we’d say we live in a particular state, city, or town. Ask about a neighborhood, sports team loyalties, or regions not defined by borders, though, and it might get a little fuzzier. In densely settled places like the East Coast, sprawl can make it hard to draw lines around places, too.

Related: