Online Health Community User Portrait Model Construction

With the rapid development of the modern economy,people are paying more and more attention to their health conditions,and traditional medical and health services have been unable to meet the needs of the general public.The rapid development of the Internet has spawned many online platforms for public communication and sharing,such as online health communities,online technology communities,etc.,and online health communities are Internet platforms that provide users with medical and health information services.Doctors,patients,related experts,and anyone seeking health information needs can share information on this platform and provide some health support to society.Therefore,in view of the current state of Internet information explosion,the tension between doctors and patients,the general public's increased attention to healthy,and the thirst for health information,in-depth research on online health communities is very important.The user profile of the online health community can more accurately understand the user's needs,in order to improve the accuracy of online health community information services,improve the quality of health information,improve the contradiction between doctors and patients,and improve the health of the entire society.First of all,through the literature research of online health community at home and abroad,this paper analyzes the current research dimensions and research methods of online health community,puts forward the existing problems in the research and development of online health community,innovatively puts forward relevant data mining methods and data analysis methods,and conducts empirical research on the relevant data of "medical network" hypertension circle.Secondly,based on social capital theory,social identity theory and motivation information management theory,combined with association rules and user portraits,this paper uses Python to obtain relevant data.After data cleaning,it uses Apriori algorithm to analyze association rules.Finally,it constructs user portraits model of online healthy community from three aspects: user demand,user role and user behavior ?Through the analysis and research on the user behavior and user demand of online health community,this paper innovatively constructs the concept model of user portrait of online health community from three aspects of user demand,user role and user behavior,and innovatively constructs the concept lattice in three aspects through the method of concept lattice,Each node represents a formal concept,and each hass graph can show the relationship between concepts.In order to improve the user portrait model,this paper uses the aprior algorithm association rules of R language to mine the potential behavior rules of different users,to realize the complete user portrait,and to conduct empirical analysis by mining the data of "hypertension circle" of the medical sharing network.Through research and analysis,this paper puts forward relevant suggestions to promote online health communities to provide better information services,meet the needs of the masses for health information,achieve accurate services,and contribute to the development of "healthy China 2030".