FEATURE ARTICLEUsing Social Network Analysis to Sketch the Patterns of Interaction Among Nursing Students in a Blog CommunityLIN, KAI-YIN PhDAuthor Information Author Affiliation: Center of General Education, National Taichung University of Science and Technology, Taiwan, Republic of China. The author has disclosed that she has no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Kai-Yin Lin, PhD, No. 193, Sec. 1, Sanmin Rd, Taichung City, Taiwan, Republic of China ([email protected]). CIN: Computers, Informatics, Nursing: August 2013 - Volume 31 - Issue 8 - p 368-374 doi: 10.1097/NXN.0b013e3182997a89 Buy Metrics Abstract Web logs, or blogs have recently raised interest in the educational and research arena. However, the analysis of participants’ behavioral patterns remains absent. The aim of this study was to use social network analysis to draw the patterns of 48 junior college nursing students’ peer interactions in a blog community in Taiwan. The results showed that the density of interactions were different in terms of the participants with different grade-point-average background. The more active students in the blog community dominated discourse interaction. Nursing students with higher grade point average interacted mainly within their respective groups. The social network analysis helped to provide information on patterns of nursing students’ interaction culture within a blog community. © 2013 Wolters Kluwer Health | Lippincott Williams & Wilkins.