Journal of Hebei University of Water Resources and Electric Engineering

Journal of Hebei University of Water Resources and Electric Engineering ›› 2018, Vol. 28 ›› Issue (3): 60-63.DOI: 10.16046/j.cnki.issn2096-5680.2018.03.012

• Technology Theory and Application • Previous Articles     Next Articles

Study on Correlation Degree of Network Users Based on Short Text Information

CHENG Xiao-hui 1,LI Run-yuan2   

  1. 1.Pearl River College,Tianjin University of Finance and Economics,301811,Tianjin,China;
    2.Beijing University of Posts and Telecommunications,100876,Beijing,China

  • Received:2018-05-09 Revised:2018-06-11 Online:2018-09-30 Published:2018-10-31

基于短文本信息的网络用户相关度研究

程晓辉1，李润源2   

  1. 1.天津财经大学珠江学院，天津市宝坻区京津新城珠江北环东路2号 301811;
    2.北京邮电大学，北京市海淀区西土城路10号附近 100876

  • 作者简介:程晓辉(1970-)，男，天津市人，助教，硕士研究生，研究方向主要为无线传感器网络与互联网数据搜索｡Email:27934097@qq.com
  • 基金资助:
    国家自然科学基金项目(61602202);; 江苏省自然科学基金项目(BK20160428)

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Abstract: A calculating method for judging the correlation degree between social network users is put forward in this paper.The method starts from the user’s background information,internet short text information and social information,respectively calculates their correlation degree,finally calculates the correlation degree of network users with the weighted sum.A good result has been achieved through the data experiment of 12 430people captured on the network.

Key words: short text, network users, relevance

摘要： 文中给出了一种判断社会网络中用户之间相关度的计算方法,该方法从用户的背景信息、发布的网络短文本信息以及社交信息几个方面出发,分别计算出了各自的相关度,最后利用加权求和给出了网络用户相关度的计算。通过网络上抓取的12 430人数据实验,取得了较好的效果。

关键词: 短文本, 网络用户, 相关度

CLC Number: