[1]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.[doi:10.3969/j.issn.1673-4785.201304039]
QIU Jianping.Analysis of attention model based on Internet[J].CAAI Transactions on Intelligent Systems,2013,8(4):339-343.[doi:10.3969/j.issn.1673-4785.201304039]
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QIU Jianping.Analysis of attention model based on Internet[J].CAAI Transactions on Intelligent Systems,2013,8(4):339-343.[doi:10.3969/j.issn.1673-4785.201304039]
互联网关注力的模型分析
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第4期
页码:
339-343
栏目:
学术论文—机器学习
出版日期:
2013-08-25
- Title:
- Analysis of attention model based on Internet
- 文章编号:
- 1673-4785(2013)04-0339-05
- 分类号:
- TP393.4
- 文献标志码:
- A
- 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.
- 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.
- 参考文献/References:
-
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备注/Memo
收稿日期：2013-04-16.???? 网络出版日期：2013-06-03.
基金项目：山西省自然科学基金资助项目(2012011011-5)；山西省重大科技专项基金资助项目（20121101001）；山西省回国留学人员科研资助项目（2013-097）；大学生创新创业专项基金资助项目（XJ2012007）.
通信作者：仇建平. E-mail：choujianp@yahoo.com.cn.
作者简介：仇建平,男,1973年生,讲师,主要研究方向为复杂网络、人工智能，承担山西省自然科学基金、山西省重大科技专项、山西省回国留学人员科研资助项目等项目多项，发表学术论文8篇，其中被EI检索5篇.
更新日期/Last Update:
2013-09-25