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

Content Provider	IEEE Xplore Digital Library
Author	Sihui Tang Jianmei Yang Canzhong Yao
Copyright Year	2008
Description	Author affiliation: Fac. of Bus. Adm., South China Univ.of Tech, Guangzhou (Sihui Tang; Jianmei Yang; Canzhong Yao)
Abstract	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.
Starting Page	764
Ending Page	767
File Size	2167558
Page Count	4
File Format	PDF
ISBN	9781424420124
DOI	10.1109/SOLI.2008.4686500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Couplings Economics information entropy Educational institutions virtual Social-relationship networks Libraries Entropy Knowledge diffusion Books Power law
Content Type	Text
Resource Type	Article

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