Research on the selecting mechanism of individual interactive object for online social network

The exploration of the mechanism of human behavior becomes very hot and interesting due to its importance and complexity. With the improvement of network technology, online social networks have developed rapidly and changed the traditional way of people´s communication. Large amount of data of user behavior is recorded, which gives us an opportunity to study the mechanism of human behavior. In this paper, we mainly research on the selecting mechanism of individual on online social networks. First of all, we put forward the individual interactive model used for explaining how an individual choose his interactive object on online social network based on the sociology, psychology and network theory. Then, to fit the data requirement of this model, we crawl and collect the data from actual online platforms. Furthermore, simulation and empirical study have been completed in two different platforms respectively to verify the accuracy of this model. Finally, we gained high level prediction accuracy rate to predict people´s interactive behavior in future periods, which brings great significance in relative study area.