基于链接动机的链接分类实证研究
发布时间：2018-12-16 00:08
【摘要】：随着网络计量学与链接分析的不断发展,越来越多的研究证实了单纯以网页之间的链接数量作为链接分析的研究指标进行研究的方法并不是完全可靠的。究其原因,一方面是因为在复杂的网络环境当中存在着大量没有价值的链接,另一方面是因为在链接创建的背后存在这各式各样不同的动机。有一部分研究者试图寻找链接数量在链接分析中的替代品,还有一部分研究者开始着手研究链接产生的原因或者创建链接的意义。在理论研究中,国内外一些研究者意识到传统的链接分析理论没有对链接进行有效地分类,对于产生链接的动机也缺乏深入的探讨。因此,对网页之间的链接动机和网络链接分类的关注正逐步成为一个新的研究趋势。本文利用行为动机理论等基本理论模型考察网络链接动机及其行为。在进行研究时,把链接分为内部链接和外部链接分别进行研究；在研究外部链接时,再根据链接来源网页与目标网页类型是否相同进行分类,分别展开研究。运用行为动机理论、情景模拟分析等方法,从用户、链接内容和情景综合挖掘链接行为的动机,并以此为根据对动机复杂的链接行为进行类型的甄别和筛选,从而构建科学的链接分类体系。以中外大学网站为例,进行实证研究,得出相关结论。本文的创新点主要有如下几点：(1)传统的链接分析主要是通过对链接数量、网页数量等指标进行定量的研究,得出相应的结论。实际上,这是建立在一个并不严密的假设之上的——所有的链接都是有意义的,而且是无差别的。建立在这种假设上的研究结果其实并不可靠。在网络的实际情况之中,存在毫无意义的链接；不同的链接又往往有着不同的内含。要真正的运用链接分析作为网络计量学的研究工具,必须理清不同链接所蕴含的深层意义。本文针对链接之间的差异,以链接动机为切入点,研究不同链接之间的差异,以此来完善链接分析理论。(2)以往的链接动机与链接分类研究总是局限于外部链接,本文分别研究了内部链接和外部链接的链接动机并对其进行分类,从而完善整个链接动机研究的体系。(3)国内外研究者早期对于链接动机的研究往往是参照借鉴引文分析的方法,直到意识到网络链接行为和文献引用行为存在着较大的差异,才逐渐转向其他的研究方法。目前对于链接动机的研究缺乏一个统一的标准。本文强调链接的行为属性,从链接的四个要素出发,借助行为动机理论,利用情景模拟的手段,对链接动机进行了系统的研究。
[Abstract]:With the development of network metrology and link analysis, more and more studies have proved that the method of using the number of links between web pages as the research index of link analysis is not completely reliable. On the one hand, there are a lot of worthless links in the complex network environment, on the other hand, there are all kinds of different motives behind the link creation. Some researchers are trying to find alternatives to the number of links in link analysis, and others are beginning to study the cause of the link or the significance of creating the link. In the theoretical research, some researchers at home and abroad have realized that the traditional link analysis theory has not effectively classified the link, and there is a lack of in-depth discussion on the motivation of producing the link. Therefore, the attention to link motivation and web link classification is becoming a new research trend. In this paper, we use the behavioral motivation theory and other basic theoretical models to investigate the network link motivation and its behavior. In the research, the link is divided into internal link and external link. When the external link is studied, the link source web page is classified according to whether the link source page is the same as the target web page, and the research is carried out separately. By using behavioral motivation theory, situational simulation analysis and other methods, this paper explores the motivation of link behavior from user, link content and scenario, and selects the types of link behavior based on the complex motivation. In order to build a scientific link classification system. Take the Chinese and foreign university website as an example, carries on the empirical research, draws the related conclusion. The main innovations of this paper are as follows: (1) the traditional link analysis is mainly through the quantitative study of the number of links, web pages and other indicators, and draw the corresponding conclusions. In fact, this is based on an imprecise assumption that all links are meaningful and undifferentiated. The findings based on this hypothesis are unreliable. In the actual situation of the network, there are meaningless links; different links often contain different contents. In order to use link analysis as a research tool of network metrology, we must clarify the deep meaning of different links. Aiming at the differences between links, this paper studies the differences between links in order to perfect the theory of link analysis. (2) the previous researches on link motivation and link classification are always limited to external links. This paper studies the motivation of internal and external links and classifies them respectively. In order to perfect the whole research system of link motivation. (3) the early research on link motivation is often referred to the method of citation analysis. It was not until we realized that there was a great difference between the behavior of web link and the behavior of citation of literature that we gradually turned to other research methods. At present, there is a lack of a unified standard for the study of link motivation. This paper emphasizes the behavior attribute of link, from the four elements of link, with the help of behavioral motivation theory, using the means of situational simulation, a systematic study of link motivation is carried out.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G350;TP393.092
本文编号：2381515
[Abstract]:With the development of network metrology and link analysis, more and more studies have proved that the method of using the number of links between web pages as the research index of link analysis is not completely reliable. On the one hand, there are a lot of worthless links in the complex network environment, on the other hand, there are all kinds of different motives behind the link creation. Some researchers are trying to find alternatives to the number of links in link analysis, and others are beginning to study the cause of the link or the significance of creating the link. In the theoretical research, some researchers at home and abroad have realized that the traditional link analysis theory has not effectively classified the link, and there is a lack of in-depth discussion on the motivation of producing the link. Therefore, the attention to link motivation and web link classification is becoming a new research trend. In this paper, we use the behavioral motivation theory and other basic theoretical models to investigate the network link motivation and its behavior. In the research, the link is divided into internal link and external link. When the external link is studied, the link source web page is classified according to whether the link source page is the same as the target web page, and the research is carried out separately. By using behavioral motivation theory, situational simulation analysis and other methods, this paper explores the motivation of link behavior from user, link content and scenario, and selects the types of link behavior based on the complex motivation. In order to build a scientific link classification system. Take the Chinese and foreign university website as an example, carries on the empirical research, draws the related conclusion. The main innovations of this paper are as follows: (1) the traditional link analysis is mainly through the quantitative study of the number of links, web pages and other indicators, and draw the corresponding conclusions. In fact, this is based on an imprecise assumption that all links are meaningful and undifferentiated. The findings based on this hypothesis are unreliable. In the actual situation of the network, there are meaningless links; different links often contain different contents. In order to use link analysis as a research tool of network metrology, we must clarify the deep meaning of different links. Aiming at the differences between links, this paper studies the differences between links in order to perfect the theory of link analysis. (2) the previous researches on link motivation and link classification are always limited to external links. This paper studies the motivation of internal and external links and classifies them respectively. In order to perfect the whole research system of link motivation. (3) the early research on link motivation is often referred to the method of citation analysis. It was not until we realized that there was a great difference between the behavior of web link and the behavior of citation of literature that we gradually turned to other research methods. At present, there is a lack of a unified standard for the study of link motivation. This paper emphasizes the behavior attribute of link, from the four elements of link, with the help of behavioral motivation theory, using the means of situational simulation, a systematic study of link motivation is carried out.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G350;TP393.092
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