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GraphML graph visualization?

What are the best options for rendering a graph defined in GraphML on Mac OSX or Linux? R + iGraph seems to be a valid solution according to the gremlin-users group , but I wonder if there is a simpler solution, ideally a simple "graphml2png" command line application. Any idea?

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I use yEd and it works on Linux, Windows and OSX. In addition, it can be exported to several formats, such as PDF, PNG, SVG, BMP, etc.

Unfortunately, none of the teams supports AFAIK

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I do not have a complete recipe, but I can share my thoughts.

Since a graph can be visualized in many ways, you must somehow control its appearance. Simply drawing nodes and edges without preprocessing is not a good option - this approach will give you a random bunch of edges and nodes, especially on large graphs.

Here is an example algorithm for obtaining a clean and visually appealing presentation of the graph:

  • Run a certain force-oriented algorithm on the graph.
  • Calculate the modularity of the graph and the color of each node using the modularity class.
  • Resize each node based on its degree.
  • If the graph is too large, filter out nodes that you are not interested in (probably nodes with a low degree).
  • Change the thickness of the ribs according to their weight.
  • Add labels to nodes and edges.

You can do such things with Gephi (in manual mode). They also offer the Gephi Toolkit , which should be able to automate such things (unfortunately, I have not tried it myself yet). Therefore, I would try to write a simple console Java program that uses this toolkit.

Here is an example of a graph rendered using the above algorithm:

graph

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