政府機構網(wǎng)站鏈接動機的分析研究
發(fā)布時間：2018-09-04 08:22
【摘要】：網(wǎng)絡信息計量學作為信息計量學在互聯(lián)網(wǎng)上的拓展,迅速發(fā)展成為網(wǎng)絡科學一個重要的分支。鏈接作為網(wǎng)絡中重要的元素,對其的分析是網(wǎng)絡信息計量學備受關注的研究方向。早期的鏈接分析主要集中在網(wǎng)絡學術環(huán)境,很多學者們將引文分析中的理論和方法運用到學術環(huán)境的鏈接分析中。但在互聯(lián)網(wǎng)逐漸多元化和復雜化的發(fā)展進程中,研究者們一方面逐步發(fā)現(xiàn)網(wǎng)絡學術環(huán)境中鏈接有著不同于引文的特點,形成了鏈接分析的理論和方法；另一方面研究者們也開始關注互聯(lián)網(wǎng)其他領域的鏈接特征和鏈接動機,以期對網(wǎng)絡資源進行合理的計量與評價。弄清楚網(wǎng)絡環(huán)境中的鏈接動機有利于深入了解網(wǎng)絡信息資源的拓撲結構及資源分布狀況,有助于網(wǎng)絡資源的計量、挖掘與評價,促進網(wǎng)絡信息計量學的發(fā)展。本研究在梳理國內(nèi)外鏈接動機研究成果的基礎上,選取鮮有研究的政府機構網(wǎng)站作為研究對象,通過開放式訪談方法獲取政府網(wǎng)站鏈接行為者的鏈接動機。將民族志決策樹模型的思想和扎根理論結合,設計開放式訪談問卷,構建鏈接行為者的民族志決策樹模型。在數(shù)據(jù)分析階段,本研究運用扎根分析和內(nèi)容分析方法提煉出38個鏈接動機要素條目,并分為8大類：支持性鏈接、功能性鏈接、宣傳性鏈接、內(nèi)容性鏈接、經(jīng)驗性鏈接、推廣性鏈接、混合性鏈接和其他鏈接。在有效性檢驗階段,通過定量的結構化問卷法對民族志決策樹模型進行檢驗,運用“正式成員檢驗”和“整合多元測定”的方法分別對研究結果進行內(nèi)部有效性和外部有效性檢驗。通過對數(shù)據(jù)的分析,本研究獲得以下研究結論：①依據(jù)網(wǎng)站鏈接行為者不同的決策準則,本研究將網(wǎng)站鏈接行為者分為網(wǎng)站開發(fā)運維人員和網(wǎng)站內(nèi)容生產(chǎn)人員,對其分別建立個體決策樹,最后通過比對整合所有的個體決策樹構建群體決策樹,獲取的條目包括19條準則和2個方案。通過結構化問卷對模型進行驗證,得到模型對同質(zhì)群體的預測度為91.67%。②政府機構網(wǎng)站的鏈接動機可歸納為八大類：支持性鏈接、功能性鏈接、宣傳性鏈接、內(nèi)容性鏈接、經(jīng)驗性鏈接、推廣性鏈接、混合性鏈接和其他鏈接。其中一半以上(51.08%)的鏈接都是支持性鏈接和功能性鏈接,內(nèi)容性鏈接和宣傳/推廣性鏈接也占了一定的比例(30.94%)。③政府機構網(wǎng)站的鏈接主要功能在于：從宏觀上來說,構建網(wǎng)站的空間架構、信息導航索引、網(wǎng)站信息內(nèi)容及功能的梳理與安排、頁面信息的排版等；從微觀上來說,鏈接就是每條內(nèi)容信息的標題索引,類似于書目,對網(wǎng)站信息進行簡化整理,方便網(wǎng)站使用者快捷地找到需要的信息。④從鏈接的視角可以看出,政府機構網(wǎng)站的主要功能是：宣傳的窗口、交互的渠道、信息服務平臺、為辦公辦事提供便利。在理論方面,本研究將農(nóng)業(yè)生產(chǎn)決策問題和醫(yī)療人類學中運用較多的民族志決策樹模型方法應用到政府機構網(wǎng)站鏈接動機的研究中,并結合扎根理論加以補充完善。同時也對鏈接動機進行了要素條目的提取,總結出8大類鏈接動機,運用扎根方法自下而上地構建了鏈接動機的體系結構。在實踐方面,依據(jù)訪談的結果,對政府機構網(wǎng)站鏈接的設置提供了實踐建議,對其在網(wǎng)站信息架構、信息導航和交互設計方面提供一些參考和依據(jù)。當然,由于科研條件和科研能力的有限性,本研究仍存在一些不足和有待進一步完善的地方,如有效性檢驗樣本的規(guī)模等。本文為國家自然科學基金項目“融合范式視角下的鏈接分析理論集成框架及其實證研究(71273125)”的研究成果之一。
[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.
【學位授予單位】：南京大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：D63
本文編號：2221533
[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.
【學位授予單位】：南京大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：D63
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