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NodeXL Graph Gallery

NodeXL Graph Gallery
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Demos - JavaScript InfoVis Toolkit JavaScript InfoVis Toolkit Create Interactive Data Visualizations for the Web Home ● Download ● Builder ● Donate Area, Bar and Pie Charts Sunburst Icicle ForceDirected TreeMap SpaceTree RGraph HyperTree Advanced/Other copyright © 2013 SenchaLabs - Author: Nicolas Garcia Belmonte Graph Visualization for Neo4j Graph Visualization for Neo4j Goals This article reviews the different tools available for visualizing graph-based data. Prerequisites You should have familiarized yourself with Graph Databases and the Property Graph Model. Beginner Overview Screencast: The Neo4j Browser Presentation: SVG-Based Graph Interaction Library: Alchemy.js Open Source… Learn More → Developer Working with Data Goals This article reviews the different tools available for visualizing graph-based data. Prerequisites You should have familiarized yourself with Graph Databases and the Property Graph Model. Beginner Overview Graph visualisations are a powerful tool to convey the content of a graph. In all cases, the visualizer request JSON data for all or part of the graph data then dynamically creates an in-memory JavaScript visualization on the client side. Screencast: The Neo4j Browser The default Neo4j Server has a powerful, customizable data visualization tool based on the built-in D3.js library. Target JSON Datastructure

Features Gephi is a tool for data analysts and scientists keen to explore and understand graphs. Like Photoshop™ but for graph data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden patterns. The goal is to help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. Real-time visualization Profit from the fastest graph visualization engine to speed-up understanding and pattern discovery in large graphs. Layout Layout algorithms give the shape to the graph. Metrics The statistics and metrics framework offer the most common metrics for social network analysis (SNA) and scale-free networks. Networks over time Gephi is a the forefront of innovation with dynamic graph analysis. Import temporal graph with the GEXF file formatRun metrics over time (clustering coefficient) Graph streaming ready Create cartography Customizable PDF, SVG and PNG exportSave presets Dynamic filtering

Graph Visualization Linkurio.us Neo4j Graph Visualization Neo4j Partner Linkurious helps you make sense of your graph data through a simple web-based interface based on an open-source back-end that connects to your Neo4j Database. Connect Our Open Source backend indexes your graph so you can connect with it on Linkurious and get started in minutes. Search Typing any keyword in the search bar brings up all the related data in one step. Explore By focusing on the items related to your search, visualizing and exploring your graph has never been easier.

Gephi, an open source graph visualization and manipulation software Datavisualization.ch Selected Tools RDF-Gravity Sunil Goyal, Rupert Westenthaler {sgoyal, rwestenthaler}@salzburgresearch.at Salzburg Research, Austria RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies. Its main features are: Graph VisualizationGlobal and Local Filters (enabling specific views on a graph) Full text SearchGenerating views from RDQL QueriesVisualising multiple RDF files RDF Gravity is implemented by using the JUNG Graph API and Jena semantic web toolkit. Figure 1: Screenshot of RDF-Gravity, showing a part of Wine Ontology 1 Graph Visualisation RDF Gravity defines a visualization package on top of the JUNG Graph API. Configurable renderers for edges and nodes of a graph, including different node shapes and edge decorations etc.A Renderer Factory allowing the configuration of the above node and edge renderers based on the type of an edge or node. For graph layout, it uses the layout algorithms directly supported by the Jung API. 2 Global & Local Filters 3 Full Text Search 4 Visualising Multiple RDF Files

Datasets - Gephi:Wiki Gephi sample datasets, in various format (GEXF, GDF, GML, NET, GraphML, DL, DOT). Feel free to add new datasets. Be sure you cite original authors. Supported graph formats are described here. Note that Gephi can open these files without the need to be unzipped. Web and Internet [GEXF] EuroSiS web mapping study: Mapping interactions between Science in Society actors on the Web of 12 European countries. [GML] Internet: a symmetrized snapshot of the structure of the Internet at the level of autonomous systems, reconstructed from BGP tables posted by the University of Oregon Route Views Project. Social networks [GML] Les Miserables: coappearance weighted network of characters in the novel Les Miserables. [GEXF] Hypertext 2009 dynamic contact network: contact network during the Hypertext 2009 conference. [GML] Zachary's karate club: social network of friendships between 34 members of a karate club at a US university in the 1970s. [TGZ] Github open source developers. Biological networks [GEXF] C.

Hybrid xml/rdbs solution Processing.org Pretty pictures: Can images stop data overload? 16 April 2012Last updated at 19:01 ET By Fiona Graham Technology of business reporter, BBC News Brain scan: Research suggests that one way to avoid being overloaded by data is by presenting it visually rather than text or numbers Sitting at your desk in the middle of the day, yet another email notification pops up in the corner of the screen, covering the figures you're trying to digest in the complicated spreadsheet in front of you. Your laptop is open on the desk next to you with another set of figures you need - meanwhile you're frantically tabbing through different documents on the main screen. You have a meeting in 20 minutes and you suddenly feel as if you're swimming in a sea of impenetrable data, and you're starting to sink. Welcome to the 21st Century workplace, and "data overload". Under siege You're not alone. Dr Lynda Shaw is a neuroscience and psychology lecturer at Brunel University in the west of London. "When we feel overwhelmed we start to delay making decisions." “Start Quote

Linked Data | Linked Data - Connect Distributed Data across the Web Diagram Layout Software | Tom Sawyer Layout Tom Sawyer Layout is a Software Development Kit (SDK) that provides nested drawing data models and layout, labeling, and routing technology for applications that have their own graphical framework. Tom Sawyer Layout is intended for applications that already have graphics facilities in place, and that still need automatic layout capabilities. Tom Sawyer Layout provides a variety of high-quality layout algorithms with superior performance and scalability. Tom Sawyer Layout permits software developers to populate a nested drawing data model, set drawing specifications, choose a desired drawing style, and perform automatic drawing formatting. Versatile Nested Drawing Data Model – The nested drawing data model supports data with hierarchical structure, including containers and groups with structure within and below them. Tom Sawyer Layout is available in several editions to accommodate development with your specific technologies and platforms.

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. yEd is freely available and runs on all major platforms: Windows, Unix/Linux, and Mac OS X. Key Features Import your own data from an Excel® spreadsheet (.xls) or XML Create diagrams with easevia an intuitive user interface. Automatically arrangeyour diagram elements. Export bitmap and vector graphicsas PNG, JPG, SVG, PDF, SWF yEd in 90 seconds Supported Diagrams yEd supports a wide variety of diagram types. Support Resources The yEd online support resources include the yEd Graph Editor manual and the yEd forum where you can give us feedback.

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