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Visualisation of the LAK dataset using Unfolding (Glenn)

by on March 15, 2013


In my visualisation of the LAK dataset I am showing the relations between different organisations. Two organisations are connected by an edge if they wrote on a common paper. The size of the red university markers indicates the amount of papers that has been published by the organisation. You can click on a conference in the list on the top left to only show organisations of that conference. However, in the current state of the implementation it will only ‘select’ the organisations and not hide the other organisation markers, so not much change will be visible. The source code can be found here (zip).


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  1. Wow! Not sure, I completely understand what your visualization is doing. But it seems you not only show LAK data, but also publication from other conferences. I also like you used ControlP5 for the UI.

    Regarding your visualization: So you are using a proportional symbol map with number of papers for the size. This is a good start. However, as you probably noticed yourself, it has a bit of a occlusion problem, at this stage. As simplest first step you should use transparent markers, so overlappings become a bit better visible (and throw away the borders, or at least make them much less apparent). Some more sophisticated idea could be to create aggregated clusters or adapt the visual mapping according to zoom level.

  2. croesglenn permalink

    Thank you for your response! I will keep your tips in mind for our next assignment. I didn’t get to completely finish this visualization because a lot of work went into the RDF parsing and looking for good geodata. And yes, I do use data from the other conferences too. This was a mistake because I just downloaded all data from the site without stopping to think that it’s not all LAK, but now it may not be a bad idea to see how LAK compares to other conferences.

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