An Evaluation Research of Author Influence Based on the Improvement of the Eigen-factor Algorithm
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The Eigen-factor algorithm is an important method for journal quality evaluation. This paper constructs a new algorithm to evaluate the author influence based on the improvement of the Eigen-factor algorithm. This paper first introduces the basic principle of the Eigen-factor algorithm, and then improves the Eigen-factor algorithm by analyzing the particularity of author citation compared with journal citation. Next it introduces the basic steps of the new algorithm. Finally it makes an empirical research based on author citation network of library and information science in China and the ranking of the authors is obtained. At the same time, the ranking result is compared with traditional citation counts.

    Reference
    Related
    Cited by
Get Citation

马瑞敏,韩小林.基于特征因子算法改进的作者影响力评价研究[J].重庆大学学报社会科学版,2015,21(2):106~109

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 25,2014
  • Revised:
  • Adopted:
  • Online: March 03,2015
  • Published: