نویسندگان
1 دانشگاه پیام نور
2 دانشگاه شهید چمران اهواز
چکیده
کلیدواژهها
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]
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