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1. 哈尔滨工业大学计算机科学与技术学院,黑龙江,哈尔滨,150001
2. 北京大学信息科学与技术学院,北京,100871
3. 中国科学院计算技术研究所,北京,100190
4. 哈尔滨工业大学计算机科学与技术学院黑龙江哈尔滨,150001
5. 北京大学信息科学与技术学院北京,100871
6. 中国科学院计算技术研究所北京,100190
Published:2013
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WANG Bai-ling, QU Yun, ZHANG Yong-zheng, et al. Research on Network-Traffic Based Web Traffic Computing Technology[J]. Acta Electronica Sinica, 2013, 41(4): 751-756.
WANG Bai-ling, QU Yun, ZHANG Yong-zheng, et al. Research on Network-Traffic Based Web Traffic Computing Technology[J]. Acta Electronica Sinica, 2013, 41(4): 751-756. DOI: 10.3969/j.issn.0372-2112.2013.04.021.
提出针对网络数据流中活跃信息进行话题相关数据采集与分析方法.首先给出面向论坛话题的定义;然后对网络数据流进行分析、对用户访问行为进行分类;并给出基于数据流的用户行为识别方法及话题相关数据抽取、存储算法;最后给出实验分析
结果表明
所提出的基于数据流的论坛话题数据采集方法能够很好地反映用户行为
并对基于数据流的网络舆情热点话题发现、突发事件检测与实时跟踪等应用提供有利的数据资源.
In this paper
a network-traffic based topic extracting and analyzing method is introduced.The new topic definition for web2.0 and the classification of user behavior is given;the detecting method of user behavior
topic extracting method
and data storage algorithm is also proposed.At last
a prototype of topic collector based on network traffic is implemented;the testing results show that the user behavior and the hot topic can be collected and detected effectively and correctly
and the new method provides a new data channel for analyzing public opinion.
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