TY  - GEN
AU  - Li, X
AU  - Verspoor, K
AU  - Gray, K
AU  - Barnett, S
Y2  - 2016/10/17
Y1  - 2016
SN  - 978-1-61499-665-1
SN  - 0926-9630
UR  - http://hdl.handle.net/11343/118415
AB  - This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure. The analysis of structural network effects demonstrates that the interaction dynamics slow down over time, indicating that interactions in the network are more stable. The health professionals may be reluctant to share knowledge and collaborate in groups but were interested in building personal learning networks or simply seeking information.
LA  - English
PB  - IOS PRESS
T1  - Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study
DO  - 10.3233/978-1-61499-666-8-93
IS  - DIGITAL HEALTH INNOVATION FOR CONSUMERS, CLINICIANS, CONNECTIVITY AND COMMUNITY
IS  - Digital Health Innovation for Consumers, Clinicians, Connectivity and Community: Selected Papers from the 24th Australian National Health Informatics Conference (HIC 2016)
VL  - 227
SP  - 93-99
L1  - /bitstream/handle/11343/118415/Xin_Analysing-health.pdf?sequence=1&isAllowed=y
ER  -