Prediction of Structural Balance in Triangular Relationship Based on Weight Value
[Research purpose]As the information society continues to evolve,the importance of open source intelligence(OSINT)is be-coming increasingly prominent.Predicting the evolution of relationships between entities through publicly available information on social networks provides decision support for users.[Research method]Utilizing microblog text data mining techniques,we collect and clean official microblog texts over the course of a year.Then,employing methods such as co-occurrence counts and link assignment values,we construct a social relationship network to predict the structural imbalances within social networks.[Research conclusion]The research re-sults indicate that under certain parameter constraints,this method can generate social relationship networks that meet expectations and ef-fectively predict potential changes that may occur under structural imbalance in the social relationship network.
万方数据
维普
