Web2.0下HTTP流量的新特征
发布时间：2019-05-24 07:43
【摘要】：Web2.0已成为因特网发展的新趋势,网站由原来的静态的图片文字显示逐渐演变成动态的、有高交互性的文字图片及媒体的融合。导致Web流量的特性发生极大的改变。研究Web2.0下HTTP流量的新特征,探究引起不同类型网络流量差异性的原因,有助于流量分类或用户行为重构。本文用一种有效的方法识别提取大量HTTP流中的"点击页面"和"内嵌页面",并比较不同类型排名前100名的网站主页的流量特性,如新闻类、B2C商业网站、搜索引擎类、社交网站类。实验数据显示流量差异化原因主要在于广告的作用、不同类型网站结构不同,及用户行为的影响。
[Abstract]:Web2.0 has become a new trend in the development of the Internet. The website has gradually evolved from the original static picture text display to the dynamic, highly interactive text picture and media fusion. Resulting in great changes in the characteristics of Web traffic. This paper studies the new characteristics of HTTP traffic under Web2.0, and explores the reasons for the difference of different types of network traffic, which is helpful to traffic classification or user behavior reconstruction. In this paper, we use an effective method to identify and extract "click page" and "embedded page" from a large number of HTTP streams, and compare the traffic characteristics of the top 100 home pages of different types, such as news, B2C commercial website, search engine class. Social networking sites category. The experimental data show that the main reasons for traffic differentiation are the role of advertising, the different structure of different types of websites, and the influence of user behavior.
【作者单位】： 中山大学信息科学与技术学院;
【分类号】：TP393.06
，
本文编号：2484686
[Abstract]:Web2.0 has become a new trend in the development of the Internet. The website has gradually evolved from the original static picture text display to the dynamic, highly interactive text picture and media fusion. Resulting in great changes in the characteristics of Web traffic. This paper studies the new characteristics of HTTP traffic under Web2.0, and explores the reasons for the difference of different types of network traffic, which is helpful to traffic classification or user behavior reconstruction. In this paper, we use an effective method to identify and extract "click page" and "embedded page" from a large number of HTTP streams, and compare the traffic characteristics of the top 100 home pages of different types, such as news, B2C commercial website, search engine class. Social networking sites category. The experimental data show that the main reasons for traffic differentiation are the role of advertising, the different structure of different types of websites, and the influence of user behavior.
【作者单位】： 中山大学信息科学与技术学院;
【分类号】：TP393.06
，
本文编号：2484686
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