Research On Complex Network And User Behavior Based On Online Q&A Community

Most of the researches on complex networks focus on the static statistical characteristics of networks,but pay little attention to the dynamic evolution of networks.At present,many complex network generation models only focus on the restoration of network statistical characteristics,but do not pay attention to the attributes of nodes themselves and the functional characteristics of the network.Under the background of the rise of Online Knowledge Q&A community,this paper constructs a knowledge tagging network spanning 8 years by using the data of questions and question tags from Zhihu.Through the study of the dynamic evolution,statistical characteristics and functional characteristics of this network,it is found that the Zhihu tagging network has a structural characteristics that the degree distribution evolves from a power-law distribution to a log-normal distribution,and also has a good functional characteristic of the community division.Therefore,based on the classic BA model,a new complex network generation model is proposed in this paper.By considering both cross-connect and homogeneity factors,the structural and functional characteristics of the tagging network can be restored.Compared with the previous network generation model,the model proposed in this paper is more suitable for the real generation mechanism of co-occurrence networks such as tagging networks.In addition,the model proposed in this paper also considers the natural attributes and homogeneity of nodes,and realizes the restoration of network functional characteristics.These studies are helpful to understand the generation and evolution mechanism of knowledge networks,and lay a foundation for the further study of knowledge networks.This article also studies the cycle of scientific knowledge contribution of users in online Q&A community.he user's scientific knowledge contribution cycle refers to the duration that users continue to contribute scientific knowledge in the online community,which is of great significance to the development and prosperity of online community.In this study,by analyzing the activity records of 10000 users in the community,the effects of social rewards and intrinsic motivation on the user's scientific knowledge contribution cycle were studied.It is found that social reward and intrinsic motivation have positive effects on improving the cycle of user's scientific knowledge contribution,and the intermediary role of intrinsic motivation between social reward and continuous knowledge contribution.