Journal ranking based on social information

  • Authors:
  • Jinlong Wang;Ke Gao;Yongli Ren;Gang Li

  • Affiliations:
  • Qingdao Technological University, Qingdao, China;Qingdao Technological University, Qingdao, China;Zhengzhou University, Zhengzhou, China;Deakin University, Victoria, Australia

  • Venue:
  • Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2009

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Abstract

Recently, literature analysis has become a hot issue in academic studies. In order to quantify the importance of journals and provide researchers with target vehicles for their work, this poster proposes a novel approach based on the social information through considering the potential relationship between journals quality and authors' affiliation. Based on the formula proposed in this work, the importance of journals can be estimated and ranked.