I have to compute a similarity measure between different sets (Actually they are more like maps than sets). A weight is associated to each element of the set.
The sets I want to compare represent different journal or conferences. Each element of the set is an author and the associated weight is the number of papers published in that venue. The goal of my analysis is to discover whether there are similarities in the most prolific authors of different venues.
I was thinking to represent the content of the sets in a vector space (Using the elements as features and the weight as their value) and compute a cosine distance. Is it a good approach or there is something better I should use?