A value evaluation method for papers based on improved PageRank algorithm

Because of the similarity of link network and citation network, bringing the PageRank algorithm to citation analysis to evaluate the value of a paper is a feasible method. But there are some problems in using the method directly. Therefore, combined with the characteristics of the citation network, this paper proposes an alternative method for evaluating the value of a paper based on improved PageRank algorithm. Taking into account some factors such as the impact factor of the journal where the paper is published and the correlation of two papers, the method computes the total value of a paper from two aspects, which are the paper´s inherent value and the value passed from other papers. The experimental results show the feasibility and effectiveness of this method.