Study on the effect of knowledge diffusion on virtual social-relationship networks-taking book inquiry as example

Books is one of important medium for knowledge diffusion. The process of book recommend deserves critical attention because it is through this process that the right knowledge gets to the right person at the right time. Base on the relation data of book borrow registration, we construct a bipartite network model of readers and books which degree distribution follows a exponents distribution. Meantime we use the link relationship data of group on website of reading book to construct a information network which degree distribution follows a power-law distribution. We use the principle of Entropy Maximization and Utility Maximization to explain the cause and characteristic of these networks. Based on these, a conclude was done that book recommend based on virtual social-relationship networks is more effective manner than on key words, and we suggest add the query module based virtual social-relationship networks into the library information system.