Research On Influencing Factors Of Knowledge Sharing Among Medical Professional Users In Online Health Community

Objective:The study is aimed at knowledge sharing in online health communities,taking medical professional users as the research object,combining their objective real data and subjective data.The influence of network structure and users’ subjective intentions on knowledge sharing is explored by considering both social networks and individual users.Method:Firstly,the user texts in the cardiovascular section of the Ding Xiang Yuan were collected and the data was divided into stages according to the time-slicing method.Using Gephi to complete all phases of user knowledge sharing network construction.The analysis of the structural properties of the knowledge sharing network is carried out in terms of both the overall network and the individual network.Network size,network density,average network path length and network clustering coefficient were selected for the overall network analysis.Using point degree centrality,mediated centrality,and proximity centrality to analyse individual networks.Using regression analysis to explore the impact of network structure on user knowledge sharing.Finally constructing a theoretical model of the factors influencing knowledge sharing.Distribution of questionnaires to users,using SPSS to completed dmographic analysis of variance,correlation analysis and regression analysis.Results:(1)Regarding the part of data acquisition results,users of the cardiovascular section in Ding Xiang Yuan were selected as the research subjects,and a total of 3402 posting users,11587 user posting data and 37795 user reply data were obtained after cleaning the data.(2)Regarding the part of user knowledge sharing theoretical model construction,Using Gephi to finish knowledge sharing network construction,and then obtain an 8-stage knowledge sharing network.In Ding Xiang Yuan,the overall size of the network shows a rise,then a fall and eventually a gradual levelling off.The overall network shows larger clustering coefficients and smaller path lengths.A small number of core users have a high degree of punctuality centrality.There are a few users who take on the role of information broker.A small number of users have a greater proximity to the centre.(3)On the impact of network structure on user knowledge sharing.Individual user network attributes were used to verify the relationship between user network structure attributes and knowledge sharing.Using user post volume as the dependent variable to measure user posting behavior,user proximity centrality had a significant influence on user posting behavior(P <0.01).When the volume of user replies was taken as a dependent variable to measure user reposting behavior,point degree centrality had a significant influence on user reposting behavior(P <0.01),proximity centrality had a significant influence on user reposting behavior(P <0.01)and mediated centrality had a significant influence on user reposting behavior(P <0.01).(4)Regarding the study on the Influencing factors of user knowledge sharing in online health communities,a total of 227 valid questionnaires were collected by questionnaire method to obtain users’ knowledge sharing.Self-efficacy had a significant influence on user knowledge sharing(P <0.01);mutual benefit had a significant influence on user knowledge sharing(P <0.01);information timeliness had a significant influence on user knowledge sharing(P <0.01);interactive atmosphere had a significant influence on user knowledge sharing(P <0.01);"Internet+healthcare environment " had a significant effect on user knowledge sharing(P<0.01);information platform had a significant effect on user knowledge sharing(P <0.05).Conclusion:(1)The vast majority of users in the Clove Forum have a high level of medical expertise,and the poor connection between users leads to a low network density of knowledge sharing networks.The loose structure of the network is not conducive to the knowledge sharing that occurs between users.(2)Regarding the influence of network structure attributes on users’ knowledge sharing,users’ proximity centrality produces a significant positive influence on the number of posts;users’ point degree centrality,proximity centrality produces a significant positive influence on the number of replies,and mediated centrality produces a significant negative influence on the number of replies.The overall level of knowledge sharing among medical professional users in the current Ding Xiang Yuan is low.(3)Regarding the Influencing factors of knowledge sharing in online health communities,self-efficacy,timeliness of information,interactive atmosphere,"internet+healthcare environment" and mutual benefit have a positive and significant impact on user knowledge sharing.Information platform has a negative and significant effect on user knowledge sharing.