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SNA-based Content-based Social Network Structure

Posted on:2013-01-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y J LiFull Text:PDF
GTID:2218330371491242Subject:Information Science
Abstract/Summary:PDF Full Text Request
With the rapid development of information technology and the Internet into the Web2.0era, the demands of network users involved in information dissemination and information interaction are more and more intense. Network users are eager for combine virtual network with social reality organically, and pursue more practical and more real application experience. As a result, Social Networking Services came into being. In2007, China's social networks were into the rapid development period. However, since the back half of2010, China's social networks have developed slowly and even stagnantly.This paper briefly introduced the development difficulties of China's social networking sites from four aspects:the collective weak social networking sites, social networking site users'erosion, the low viscosity of social networking sites, and the less attractive of social games. According to difficulties of China's social networking encountered and utilizing the root cause analysis methods, the paper analyses the primary causes, builds content social networking on the basis of the structure idea of social network analysis and researches the implication, internal structure and characters of content social networking.The core of this paper is the construction of the content social networking.Firstly we discriminate the connotation of content social networking. Then we analyze the whole network structure of the content social networking and the information interaction of double node for content and person. And at the same time, we study the characteristics of content social networking. Finally, we analyze the construction and the characteristics of the content social networking by taking the site of douban.com as example and using social network analysis method.
Keywords/Search Tags:Social Network Analysis, Social Networking, Root Cause Analysis, Content Social Network
PDF Full Text Request
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