Co-citation Analysis and Co-word Analysis in Bibliometrics Mapping: A Methodological Evaluation

• Main Authors: Najmeh Salemi, Keyvan Koosha
• Format: Article
• Language: fas
• Published: Iranian Research Institute for Information and Technology 2014-03-01
• Series: Iranian Journal of Information Processing & Management
• Online Access: http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-1566-3&slc_lang=en&sid=1

The general aim of a bibliometric map is to provide an overview of the structure of the scientific literature in a certain domain or on a certain topic. In the context of science policy and research management, bibliometric maps can be used to support decision making by governments, funding agencies, and universities. The articles have words and references which are the bibliometric data for co-citation analysis and co-word analysis. We try to find that these two bibliometric approaches show any correlation? We applied these approaches to University of Tehran’ productions published between 1999 and 2008, retrieved from the Web of Science. The results reveals 14 co-citation clusters and 6 co-word clusters. The clusters vary considerably in size. Co-word clusters emerged co-citation clusters.