The Compeer Mental Self-regulation System Based On Community Mining

With the rapid development of the society and increasing pressure of people’s lives,people will be facing with many problems, such as education, employment, andmarriage in everyday life. Along with the varying degrees psychological pressure, theseproblems also bring depression, anxiety and other negative emotions to the folks’psychological and physical health. Based on this urgent demand，the wide application ofthe current internet services and information technology in various fields, the mentalhealth services under the network environment have become a research focus inpsychology and information technology fields.In this paper, we present a solution to the mental health in self-regulation thatbased on the peer mental tutorship. The solution uses data mining technology to analyzeinteractive information between the users and the system，simulates the identity of acounselor to help the users form networks of peer relationship，guides the users to givepsychological comfort adjust advices in interpersonal communication. So as to realizethe users’ self-psychological regulation, alleviates and eliminates the negativeemotions that puzzled the user. The core module of this solution is the expertsrecommended model based on the users’ community. It proposes a communitymining algorithm for frequent-changed sparse network which is an improved algorithmbased on the Radicchi algorithm, and introduces the methods which usecommunity core users to recommend friends and resources.Based on the above study, the paper designs and implements a mental healthself-regulation system-PsyAdjust. It collects friendship data that users add on theirinitiative to form the peer network model, and carries on data mining to the communitycore users through community mining and social network analysis algorithm, and thenrecommends appropriate friends and self-regulation psychological resources tothe target users according to the users’personality feature similarity. By analysis of thefeedback data in the experiment, PsyAdjust system can effectively improvethe users’ psychological state of depression.