graph-visualization

I am a CS Research student at UW, and my group is at the point of trying to visualize specific network traffic that is put into a neo4j graph DB in real time. I have read about many different tools such as gephi, cytoscape, rickshaw (based on D3.js), some others, and D3.js. We are so far going forward with D3.js, but wanted to get the community opinion. We can't use cytoscape because of neo4j, and feel that D3.js would work the best with semi-large data in a fast real-time environment. Suggestions? Perhaps for another question, but also feel free to input: Best way to implement neo4j? Java,

Is there an Open Source java alternative to GraphViz? I'm aware of the existence of Grappa which basically wraps the Graph interface to GraphViz as an JavaAPI. However the layouting is still done by the GraphViz binaries. I'm looking for a pure-java, open source library providing the same functions and layouting algorithms as GraphViz. DrDee You can have a look at JUNG (Java Universal Network/Graph Framework) which has visualization and analytics functions. It's open source. Interestingly, the Eclipse project has an SWT/JFace component/framework capable of displaying and generating (import

I have the following JavaScript code that uses the D3.js library to draw a tree (it follows the standard structure one can find in the various online tutorials): var json = { "name": "A", "children": [{ "name": "B" }] }; var tree = d3.layout.tree().size([200, 200]); var nodes = tree.nodes(json); var vis = d3.select("#chart").attr("width", 300) .attr("height", 300) .append("svg:g") .attr("transform", "translate(40, 40)"); var diagonal = d3.svg.diagonal(); var link = vis.selectAll("path.link").data(tree.links(nodes)).enter() .append("svg:path") .attr("class", "link") .attr("d", diagonal); var

I want to use Prefuse to visualise a graph. I followed their tutorial and tried their sample application. Its sourcecode can be found here However, even if I simply copy the full code, the resulting graph does not look as displayed in the tutorial. It is only half visible, stuck in JPanel's upper left corner. Some parts of it are missing becuase they would have to be displayed outside the panel. I tried with some graphs of my own, but I keep running into the same phenomenon. I suppose this is not expected behaviour, but I have no idea where to hunt for the problem. I don't know if this is a

I wanted to ask if there was an easy way to visualize a Keras model built from the Functional API? Right now, the best ways to debug at a high level a sequential model for me is: model = Sequential() model.add(... ... print(model.summary()) SVG(model_to_dot(model).create(prog='dot', format='svg')) However, I am having a hard time finding a good way to visualize the Keras API if we build a more complex, non-sequential model. Yes there is, try checking the keras.utils which has a method plot_model() as explained on detail here . Seems that you already are familiar with keras.utils.vis_utils and

I would like to draw a circular graph of nodes where certain nodes have a link between them. Here are a few examples from social network graphs: (source: wrightresult.com ) (source: twit88.com ) How can this be done with MATLAB? Is it possible without installing a separate package? Here is one way you can do what you want. First, generate points on the circle that you are interested in clear; theta=linspace(0,2*pi,31);theta=theta(1:end-1); [x,y]=pol2cart(theta,1); Next, if you know the pairs of nodes that are connected, you can skip this step. But in many cases, you get a connectivity matrix