A method of evaluation index of author’s academic influence based on author Citation Network

Abstract

To overcome the shortcomings of PageRank algorithm that neglects the time factor in author evaluation, a new method for evaluating author's academic influence is proposed. Firstly, the PageRank algorithm is applied to calculate the author's PR value in academic social network to distinguish the author's contribution. Secondly, timePageRank algorithm (abbreviated as T-PR) is given by incorporating the citation time heterogeneity of the author's paper into PageRank algorithm. Finally, the author's literature data in the field of information science is taken as an example to make an empirical analysis. By comparing with PageRank algorithm, it is found that T-PR algorithm can not only identify the core authors in this field, but also distinguish the ranking of authors'influence better, and the evaluation results are more objective and reliable.