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The Study In Information Dissemination Mechanism Of Chinese Q&A Community

Posted on:2011-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:X G ZhangFull Text:PDF
GTID:2178360305499761Subject:Information Science
Abstract/Summary:PDF Full Text Request
Chinese Q & A community based search engine is a network information consultation platform In recent years, It's search mode based on natural language changed the status of the accuracy of the information is not strong caused by the Solely depended on keyword search of traditional search engine technology, achieve the goal of exchanging and sharing of Information. The research from academic community in Q & A community is endless, the research is beyond the information science, communication, sociology, computer science and other fields. The purpose of this paper is to use empirical research methods, on the basis of comparison in Q & A community, Analysis the operating mechanism of the Q & A community-based search engine; And further adopted of social network analysis method, extracting the user information of area Forum from Baidu "zhidao", analysis the related feathers of the mode in Information dissemination and sharing of Q & A community. Finally, giving recommendations to further improve the Q & A community aimed to the shortcomings of the current Q & A communityIn this paper, a sampling survey analysis method and a social network analysis research method are used. In the first part of the paper, sampling analysis mengtod is used for analysising the runing mechanism of the Q & A community. The second part of the the paper using the sampling survey method and the social network analysis methdod, using social network analysis method to analyze feathers of the social network formed by the sampling data responses to the answering users including the network density, centrality analysis and analysis of small groups. And further analysis the model knowledge dissemination and sharing of on the basis of the above-mentioned social network analysis. At the same time, visualizing the part of researching results through the social network drawing tools.The paper is divided into six chapters, Chapter 1 give an account of the status of the Q & A community, and the analysis of Q & A community And the related fields by the domestic and foreign scholars; Chapter 2 analysis the development of Q & A community, and the difference and relation between BBS and the Q & A community; Chapter 3 analysis the operating mechanism of the Q & A community; Chapter 4 using social network analysis method to analyze the model of information exchange and sharing of Q & A community; Chapter 5 makes recommendations to further improve the operation and management mechanisms of the Q & A community; Chapter 6 gives conclusions of the stuy.The study reflects the current status of the Chinese Q & A community: style of information organization, operation and management mechanism, and the the quality of answers of the Q & A community needs further to improve. Shortage of high-quality participation users resulted in the users interaction network of the Q & A community overly dependent on a small number of users, causing the instability of network. To further enhance the stickiness of Q & A community to the high-quality users, attract more high-quality users to take more part in the sanswering of the Q & A community is the key to keep the stability of the community.Using social network analysis method to explore community information exchange and sharing model, is the innovation of this study. Social network analysis method is the matured international sociological research methods. The exploratory Research in answer person network of the Q & A community in the study using the social network method is valued to the follow-up study in the Q & A community.Given the level of individual academic foundation and research is limited, this study there must be some omissions and deficiencies. Inappropriate, I would urge teachers and academic peer review more critical correction.
Keywords/Search Tags:Q&A community, Social network analysis, Information self-organization, Information dissemination Mechanism
PDF Full Text Request
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