【摘要】：Web2.0已成為因特網(wǎng)發(fā)展的新趨勢,網(wǎng)站由原來的靜態(tài)的圖片文字顯示逐漸演變成動態(tài)的、有高交互性的文字圖片及媒體的融合。導(dǎo)致Web流量的特性發(fā)生極大的改變。研究Web2.0下HTTP流量的新特征,探究引起不同類型網(wǎng)絡(luò)流量差異性的原因,有助于流量分類或用戶行為重構(gòu)。本文用一種有效的方法識別提取大量HTTP流中的"點擊頁面"和"內(nèi)嵌頁面",并比較不同類型排名前100名的網(wǎng)站主頁的流量特性,如新聞類、B2C商業(yè)網(wǎng)站、搜索引擎類、社交網(wǎng)站類。實驗數(shù)據(jù)顯示流量差異化原因主要在于廣告的作用、不同類型網(wǎng)站結(jié)構(gòu)不同,及用戶行為的影響。
[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.
【作者單位】： 中山大學信息科學與技術(shù)學院;
【分類號】：TP393.06
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本文編號：2484686