عنوان مقاله English
نویسندگان English
Scientific collaboration has always been of interest to
researchers. The analyses of data relating to scientific collaboration is
one of the techniques by which we can evaluate research activities.
Co-authorship network analysis can represent good information
regarding the patterns and structures of co-authorship.
Social network analysis was used as the research method. The
research population included twenty journals of Information Science
which had an impact factor of 0.635 as a minimum from the years
1996 to 2010.
The research findings showed that Journal of the American
Medical Informatics Association with 0/3 network density has a
highest co-authorship network density. Low connection existed in coauthorship
network of Information Science journals and co-authorship
networks of these journals were loose and sparse.
The Results showed that co-authorship networks of information
science journals had a low density. Compactness of this journal is low
and co-authorship networks had a low cohesion. Results of this
research also showed that the density of co-authorship networks of
Information Science is lower than Medical Sciences and higher than
Management and Social Computations.
کلیدواژهها English
