Large-scale RDF Graph Visualization Tools AI3 Assembles 26 Candidate Tools The pending UMBEL subject concept “backbone” ontology will involve literally thousands of concepts. In order to manage and view such a large structure, a concerted effort to find suitable graph visualization software was mounted. This post presents the candidate listing, as well as some useful starting resources and background information. ZGRViewer Current Version Stable: 0.10.0 (March 2015) Development: 0.10.1-SNAPSHOT through SVN only (March 2015) What is ZGRViewer? ZGRViewer is a graph visualizer implemented in Java and based upon the Zoomable Visual Transformation Machine.
Vizster: Visualizing Online Social Networks VizsterVisualizing Online Social Networks Jeffrey Heer – firstname.lastname@example.org Professor Marti Hearst InfoSys 247 – Information Visualization University of California, Berkeley Spring Semester, 2004 Vizster is an interactive visualization tool for online social networks, allowing exploration of the community structure of social networking services such as friendster.com , tribe.net , and orkut . Such services provide means by which users can publicly articulate their mutual "friendship" in the form of friendship links, forming an undirected graph in which users are the nodes and friendship links are the edges.
Understanding How and Why Facebook Users Interact with Brands This post originally appeared on the American Express OPEN Forum, where Mashable regularly contributes articles about leveraging social media and technology in small business. While much of finding what works for your business on social media sites is a process of trial and error, recent stats from e-mail marketing firm ExactTarget (which recently acquired social CRM platform CoTweet) shed some light on how the Facebook population uses the site, and specifically, how it interacts with brands. First, the good news: Based on its study of 1,500 Facebook users, ExactTarget concluded that 38% of online U.S. consumers “Like” (formerly “Fan”) a brand on the social networking site. Welkin What is this? Welkin is a graph-based RDF visualizer. What's New in Version 1.1 Works on Windows, Linux and MacOSX. Added support for Turtle/N3 RDF syntax. Dramatically reduced size for increased startup performance.
yEd - Graph Editor yEd is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams. Create diagrams manually, or import your external data for analysis. Our automatic layout algorithms arrange even large data sets with just the press of a button. 5 New Ways to Market Your Brand on Facebook With 500 million members and growing, Facebook offers brands and marketers direct contact to the largest pool of online users on the web. After all, social media is fast becoming more popular than e-mail on mobile devices and more convenient for news consumption than the daily paper. In recent weeks and months, Facebook has introduced and improved a number of on-site tools that sage brands and businesses can use to better market themselves. Even the simplest of tools such as "Likes" and photos could serve as a catalyst for a viral network effect.
SemanticWebImport The Gephi Plugins Center has moved for the better! Your have landed on an old version, sorry for that. Please click here to access the new Plugins Center. Introduction This plugins allows to apply a SPARQL request on: 1. a set of RDF local files, i.e. on your computer. This is done by using the Corese SPARQL engine; 2. a SPARQL SOAP or REST end-point.
What Social Followers Want Brand marketers want consumers to follow them to build buzz and engagement, but social media users often desire something in return. What they’ve come to expect is a good deal, but many consumers—including the most active users of social sites—are also interested in deeper engagement. A December 2009 MarketingSherpa survey indicated that learning about specials and sales was the top motivation of those who friended or followed a brand online, supporting the results of earlier surveys. But looking for savings was followed closely by learning about new products, features or services.