 Just messing a bit with the color to find the right balance and also to limit the number of color just not to have something that is completely colorful everywhere so that we can focus on very specific parts. And here I will export specifically not only the data this time but also the picture, the network itself so that I can play with them with a picture editing tool afterwards. So here currently I'm exporting the Italian one, I exported the English one before and now I'm editing the Turkish Ego network so that I export all these SVG files. I also export the basic complete black graph also in SVG so that I will be able to put the colorful little sub-networks on top of it afterwards. There will be a background and a foreground in my picture and now I will also export the labels without exporting the graph itself so that I can filter the graph and filter it according to the degree centrality so that I keep only the labels of the nodes that are very big and I export that so that I have a layer, SVG layer will have all the names appearing without the graph. And now I will simply compile these different layers together to have my final pictures. I decided to go for more than one final picture because I want to have highlights on these three specific national cuisine sub-networks so I'm here producing the British one or the English one. I will now go to the Italian one where I just drop the Italian network in front and align it with the background and I will do the same for the Turkish network and now I have basically three times the same network with a different highlight and I also also produced the final complete version with all these three colors and the additional names layer on top of it. What will lead at the interpretation of course is the statistics we'll calculate on the graph and as we exported the specific sub-network for all our English, Italian and Turkish cuisine I am able to do these little scatter plots to compare the in-degree and the out-degree of these nodes. These metrics are interesting here because they really tell about is a page a page where all the other pages are linking or is it a page that is linking to more pages. I'm not very interested in in in closeness or between net centrality metrics here because we've seen already in the structure of the graph that everything was connected to the national cuisine pages so we know already that these national cuisine pages are the most important pages of this graph.