政府機(jī)構(gòu)網(wǎng)站鏈接動(dòng)機(jī)的分析研究
[Abstract]:As an extension of information metrology on the Internet, network information metrology has rapidly developed into an important branch of network science. As an important element of the network, the analysis of links is a research direction of network information metrology which has attracted much attention. The theories and methods of text analysis are applied to link analysis in academic environment. But in the process of the development of the Internet, researchers have gradually found that links in academic environment are different from citations, thus forming the theory and methods of link analysis. On the other hand, researchers have begun to do the same. Paying close attention to the linking characteristics and motivation in other areas of the Internet in order to measure and evaluate the network resources reasonably. To understand the linking motivation in the network environment is helpful to understand the topological structure and resource distribution of the network information resources, to measure, mine and evaluate the network resources, and to promote the network information metrology. On the basis of reviewing the research results of linking motivation at home and abroad, this study selects the government agency websites as the research object, and obtains the linking motivation of the government website linking actors through open interview method. In the data analysis stage, this study used grounded analysis and content analysis to extract 38 link motivation elements and divided them into eight categories: supporting links, functional links, propaganda links, content links, empirical links, extension links, mixed links and other links. Then, in the validity test stage, the Ethnographic Decision Tree Model was tested by quantitative structured questionnaire method, and the internal and external validity of the results were tested by the methods of "formal member test" and "integrated multivariate test". According to different decision criteria of website link actors, this study divides website link actors into website development and maintenance personnel and website content producers, and establishes individual decision tree for them respectively. Finally, group decision tree is constructed by comparing and integrating all individual decision trees. The obtained items include 19 criteria and 2 schemes. The constructed questionnaire was used to verify the model, and the predictive value of the model was 91.67%. 2. The motivation of links in government websites can be divided into eight categories: supportive links, functional links, propaganda links, content links, empirical links, promotion links, mixed links and other links. More than half of them (51.08%) are supportive links, functional links, propaganda links, content links, empirical links, promotion links Links are supporting links and functional links, content links and publicity / promotion links also accounted for a certain proportion (30.94%). From the micro point of view, links are the title index of each content information, similar to bibliographies, which simplify and organize the website information so that users can find the information they need quickly. In theory, this study applies the decision tree model of ethnography to the study of the motivation of links on government websites, and combines the grounded theory to improve it. In practice, based on the results of interviews, this paper provides practical suggestions for the setting up of links on government agencies'websites, and provides some reference and basis for the information structure, information navigation and interaction design of websites. This paper is one of the achievements of the National Natural Science Foundation's project "Integrated Framework of Link Analysis Theory and Its Empirical Study (71273125)" from the perspective of Fusion Paradigm.
【學(xué)位授予單位】:南京大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:D63
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