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互联网关注力的模型分析
引用本文:仇建平.互联网关注力的模型分析[J].智能系统学报,2013,8(4):339-343.
作者姓名:仇建平
作者单位:太原科技大学 计算机科学与技术学院,山西 太原 030024
摘    要:随着基于互联网的社会媒体及其应用的迅速发展,互联网用户的“关注”对建立在其基础上的“虚拟经济”具有越来越重要的意义,通过把人看作是传播的内容,把信息资源看作是对象,互联网可以被看作是一个人类关注力在信息资源之间分配和流动的网络.利用搜集和分析互联网用户行为的数据,构建了基于互联网的关注力转移网络,给出了一个描述互联网用户关注力的动力学模型.实验结果表明,相比Web 1.0站点而言,Web 2.0站点更受关注,网站的关注力增长小于流量增长,存在着“规模不经济”的现象,相比搜索引擎和广告联盟,广告网络和垂直网络更受关注.

关 键 词:互联网  虚拟经济  关注力模型  长尾分布

Analysis of attention model based on Internet
QIU Jianping.Analysis of attention model based on Internet[J].CAAL Transactions on Intelligent Systems,2013,8(4):339-343.
Authors:QIU Jianping
Affiliation:Institute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
Abstract:With rapid development of Internet-based social media and their applications, Internet users’ attention has more and more important significance to a fictitious economy. In this paper, users are regarded as content conveyed in Internet while information resources are regarded as targets. Along this line, Internet is regarded as a net that distributes people’s attention stream among information resources. By collecting and analyzing the behavior data of Internet users, this paper demonstrates a flow network of transporting attention and gives a dynamic model describing Internet users’ attention. The experimental results show that, Web2.0 attracts more attention than the Web1.0 Website. The results of this paper also demonstrate that growth of attention to the website is slower than growth of traffic, and thereby creating a "diseconomies of scale" phenomenon. We were able to demonstrate that ad network and vertical niche attract more attention than search engine and affiliate network.
Keywords:Internet  fictitious economy  attention model  long-tailed distributions
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