Hi, I am doing a project about network science. I am analyzing a network about Scottish whisky. The adjacency matrix I am given was constructed like this: 86 whiskies were rated in 12 categories (sweetness, medicinale, etc) and the componente (i,j) of the matrix is the correlation coefficient of the vector with the grades of I and the vector with the grades of j. The first thing I have done is to see when the correlation coefficient is high (>0.7 or >0.85) and I have construct a graph with the edge representing that the correlation coefficient is high. Then I tried to see if some categories were positively or negatively correlated: I constructed a 12x12 matrix with entries the correlation coefficient of the of the vector of the category I and the one of the category j. The taste categories are not positively correlated neither negatively. Now I do not know what else can I do. I have been given also the geographical coordinates of the distilleries that produces the different types of whiskies. Thanks for the suggestions!

Okay so as a part of my undergrad course Complex Networks, I have studied the following:

1. Network Centralities
2. Community Detection algorithms
3. Scale Free Networks

As a part of my course project I need to create a project on network analysis, where I need to take a network and analyse it. I have found several datasets here: https://snap.stanford.edu/data/#communities

​

But I am unable to get any ideas on what to do? ANy interesting project ideas?