This is the draft of my report about ReRank Project. It is sketchy but includes most points.
My basic idea is to transfer ranking problem into a network optimization problem. Other guys have proposed an entropy maximization scheme to rank web pages in WWW, which is more fair then PageRank that Google uses. I borrowed this framework and analyzed the citation network formed by papers. Then I modeled the relation between researchers and papers with Bipartite Graph. By maximizing entropy again, I got the most general indicators of researchers’ popularity and influence.
The attachment is a brief summary of my idea.It’s highly appreciated if you can view it briefly before the discussion.
This is only basic idea of theoretical framework, there is long way to for before getting any meaningful result.
I will update it if I revise it later.
Jing Conan Wang 