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.
Faramarz Soheili, and Farideh Osareh, (2014). A Survey on Density and Size of Co-authorship Networks in Information Science Journals. Iranian Journal of Information Processing and Management, 29(2), 351-372. doi: 10.35050/JIPM010.2014.038
MLA
Faramarz Soheili, , and Farideh Osareh, . "A Survey on Density and Size of Co-authorship Networks in Information Science Journals", Iranian Journal of Information Processing and Management, 29, 2, 2014, 351-372. doi: 10.35050/JIPM010.2014.038
HARVARD
Faramarz Soheili , Farideh Osareh (2014). 'A Survey on Density and Size of Co-authorship Networks in Information Science Journals', Iranian Journal of Information Processing and Management, 29(2), pp. 351-372. doi: 10.35050/JIPM010.2014.038
CHICAGO
Faramarz Soheili and Farideh Osareh, "A Survey on Density and Size of Co-authorship Networks in Information Science Journals," Iranian Journal of Information Processing and Management, 29 2 (2014): 351-372, doi: 10.35050/JIPM010.2014.038
VANCOUVER
Faramarz Soheili , Farideh Osareh A Survey on Density and Size of Co-authorship Networks in Information Science Journals. Iranian Journal of Information Processing and Management, 2014; 29(2): 351-372. doi: 10.35050/JIPM010.2014.038