摘要随着互联网的越来越普及，人们上网的人次与频率都在不断增加，上网已经成为人们生活中必不可 少的一部分。互联网能够为人民提供足够多的网上信息资源，也为人们的日常学习生活变得更加便捷。 与此同时，大量的网络数据也就会因此产生，众多各不相同的信息交织在一起，形成关系极其复杂的信 息网络，如果没有强大的技术支持是很难从中区分获取各种有用信息的。但是，人们生活的节奏追求高 效这就要求能够在最快的时间内获得最想要的信息，因此，将基于 PageRank 算法的网页排名技术理论 深化研究，使得实际网页数据排序更加科学高效就显得十分有意义。

本文通过对经典的 PangRank 算法深入学习研究，针对网页链接关系实例进行算法演算，同时与实 力的度分析进行比较研究，尝试找出更多的 PageRank 算法规律，从而进行相关的优化拓展。因为基于 网页链接关系中的度分析与网页与网页的在一定程度上存在着某种特殊关系，但是从 PageRank 算法的 角度去探讨网页链接关系分析的时候，人们会根据实际情况评定不同“重要性”的链接，这就体现出 PageRank 算法基于更深层次的去探讨各个网页链接的关系。很明显，这两种分析方法角度存在差异性， 使得要对传统的 PageRank 算法深入研究，有必要做比较研究，融合更多合理的方法角度去分析网页的 链接关系。88567

毕业论文关键词：PageRank 算法;网络数据分析;度分布;比较研究源Q于D优G尔X论V文Y网wwW.yOueRw.com 原文+QQ75201`8766

Abstract As the Internet becomes more and more popular, people and the frequency of people on the Internet are increasing, the Internet has become an indispensable part of people's  life。 The Internet can provide online information resources enough for people, but also for the people's daily life more convenient。 At the same time, a lot of network data will therefore produce。 The information of many different intertwined relationship between the formation of extremely complex information network, if there is no strong technical support is difficult to distinguish from access to all kinds of useful information。 However, people's life rhythm of the pursuit of efficiency it is necessary to get the most wanted in the fastest time Therefore, it is very meaningful to deepen the research on the technology of web page ranking based on PageRank algorithm, which makes it more scientific and efficientFrom优T尔K论M文L网wWw.YouERw.com 加QQ75201^8766

This paper through in-depth study of classical PangRank algorithm, the algorithm for web link calculus examples, and the strength of the analysis and comparative study, trying to find out the rules of the PageRank algorithm more, so as to expand the relevant optimization。 Because based on Web links in the relationship between the degree of analysis and web pages and to a certain extent there a special relationship, but from the point of view to study the PageRank algorithm analysis of Web links between people, according to the actual situation of different evaluation "importance" link, which shows the PageRank algorithm based on deeper To investigate the relationship between the various web links to levels。 Obviously, the angle of these two methods are different, so to study deeply on the traditional PageRank algorithm, it is necessary to do a comparative study to analyze the link between "more reasonable method of angle fusion。

Keywords: PageRank algorithm, network data analysis, degree analysis, comparative study。

目录

1 绪论 5

1。1 研究背景和意义 5

1。2 度分布的介绍 5

1。3 研究的方法 基于PageRank算法的网络数据分析:http://www.youerw.com/jisuanji/lunwen_163892.html