 Now as a conclusion, what what can we say about this network? Of course, I'm not really interested in in digging too much into the qualitative interpretation of What who is Wikipedia organized and and and who are I don't know the pizza page and the spaghetti page is connected to more than just the Italian cuisine page and so on and so on because in fact The goal of this exercise is really to reflect on yeah We have a network it is hoities and maybe it may be this a bit skewed by the fact that all the pages are connected to their national cuisine page which makes these national cuisine completely Structured the rest of the graph, but it is always hoities and and now that the goal of this exercise is just to describe It's and to make a few interpretations So of course if I if I wanted to to really make a network analysis of Wikipedia pages I would probably Prefer to remove all these national cuisine pages to see really precisely only at the at the Ingredients or our dish level Relations, but of course the then the network is hoities today So we'll analyze it like that and what and and where it it skews a bit the comparison between these these three Colorful clusters here is the fact that in fact that the gray cluster the one with these national cuisines Pages is of course connected to to almost all the pages of all these Sub-sub-networks, so that means that in terms of network analysis or graph metrics There is not not much to be extracted here. We need to refine the data set before Analyzing it precisely, but but but concretely globally especially when we look at the three different Version of the same graph with the three different highlights. We see very very well a few a few Geographic or topographic distribution, especially the fact that Italian cuisine appears to be more central or at least is the interface between English cuisine and Turkish cuisine, but of course lots of other national cuisines Italian is very central Which will probably be interpreted about by by food historians In certain ways, but here we are just qualifying this position because we want to speak only only about the network itself What we see is the fact that Especially for for the Turkish cuisine. There is a very very strong internal internal relation pattern In this subnetwork, which probably means that in terms of Wikipedia pages There is a very very large footer element in on the page or a very large info box where everything is Making links to everything basically Which also makes the the average in-degree and out-degree of this subnetwork much higher than for the other Example we've chosen here so that that's an artificial bias in a certain way Because probably the Turkish community on the English Wikipedia edited very highly these these footers elements or info boxes and it's very interesting to see that this Turkish cuisine subnetwork is the only one where the average in-degree is smaller than the average out-degree which means that There are more links from these pages to all of the pages about Europe and cuisine in this network than links that come from Europe and cuisine to Turkish cuisine So that that's an interesting insight And we when when you look at the the scatter plot for the others you also see for example in the Italian example that This internal connections are way less Proeminence Apparently in this network that that's that's really the the main the main outcome here Italian cuisine is really the link between other communities or the link between different clusters more than a very very clusterized group because they are For 499 pages in this ego network But a very very very low average degree which means that most of these pages are very probably small page that are not Using this footer and info box layout so they are not receiving lots of links and not sending lots of links so yeah, globally a network that is a bit frustrating because of these National cuisines pages a network where we Expect a kind of multi-layer analysis and especially making two categories between what is a normal Wikipedia page and this kind of Meta Wikipedia pages for the national cuisines that act a bit like categories. They are not categories here We move to the categories themselves so that the categories would have acted as a third layer in a certain way But I would probably in in in the next step of this analysis want to analyze it in a more vertical way to To have to analyze what appears at the national cuisine level and to and to see also what appears at the dishes and ingredients level probably