A Complex Network Knowledge Sharing Model Based On Trust Mechanism

As a new exchange space based on the support of network technology, the virtual community provides an effective platform for the knowledge sharing between organization members. Due to the openness, anonymity and dynamic characteristics of the virtual community, there may be a large number of dishonest users or cheating behaviors between the competing users, resulting in the low knowledge sharing efficiency of the whole community, and knowledge quality cannot be guaranteed. Frequently knowledge sharing among community members make these available knowledge is always in scattered and disorderly state, thus increasing the difficulty of inquiring and using knowledge for community members. Therefore, this paper introduces trust mechanism into the knowledge sharing of the virtual community, trust mechanism can effectively detect malicious users in the community to avoid this kind of user bringing hidden danger, and to promote knowledge sharing between the virtual community members.Firstly, this paper describes the working principle of trust mechanism in the virtual community, proposes a complex network knowledge sharing model based on trust mechanism, introduces the specific function of each module in detail and the building up of trust mechanism, then an example is given to verify the model can effectively detect malicious nodes in the community, promote those high trust values of nodes with similar knowledge interests and knowledge types to share knowledge, thus forming different knowledge sharing communities.Secondly, by introducing the theory of complex network, researching knowledge dissemination and diffusion of the virtual community in the specific network can effectively discover formation mechanism of the knowledge sharing community and structural characteristics of the knowledge sharing network.Finally, analyzing the knowledge interests and needs of members based on the formation of the knowledge sharing community, and building a user interest model and a knowledge base based on the user interests, thus storing and managing the knowledge which flowing in the knowledge sharing community.