I assume you have read the Methodology section which explains the procedure of the first steps of our project: extraction of massive amout of information from Google and its analysis. The graph we obtain here is based on two quantities, Google Similarity (ie. semantic relatedness) and homophony. Those two quantities can be tuned thanks to the cursors above the graph. You may navigates by clicking on words or choose automatic navigation ("start auto mode").

To begin with you may set the "Homophony" cursor at the center (on 1 for instance). If you move the "Google SImilarity" cursor to the left, you will select words that are semantically more related to the central word. The more you move it to the left, the more the neighborhood of the central word reduces, keeping only words semantically closer. Conversely, if you move this cursor to the right, you will select words that are more distant semantically (NB: if you move this cursor to the far right and if a big number of words appear, the application might slow down a bit).

If you move the "Homophony" cursor to the left, you select words that are homophonically related to the central word. This is the "Roussellian" dimension. Conversely if you move this cursor to the right, you will select words that are more distant on the homophonic point of view.

If you move both cursors to the left, you get closer to the "Dada" zone, with high homophony and high semantic relatedness. For more explanations you may consult the Dadamap section.