电子学报

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基于用户偏好的嵌入性网络结构分析

唐雨1, 何明升2, 王英赫3   

  1. 1. 哈尔滨工业大学人文学院, 黑龙江哈尔滨 150001;
    2. 华东政法大学社会发展学院, 上海 201620;
    3. 北京邮电大学, 北京 100876
  • 收稿日期:2011-11-08 修回日期:2012-03-13 出版日期:2012-07-25 发布日期:2012-07-25
  • 作者简介:唐 雨 女.1981年6月出生,黑龙江鸡西人.2004年和2006年分别获得哈尔滨工业大学法学学士学位和法学硕士学位,后就职于哈尔滨工业大学社会学实验室.现为哈尔滨工业大学社会工程与管理专业在读博士,从事互联网中的网络社群结构及相关研究. E-mail:purityrain@126.com

Analysis on Embedded Network Structure Based on User Preference

TANG Yu1, HE Ming-sheng2, WANG Ying-he3   

  1. 1. Humanities School, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;
    2. School of Social Development, East China University of Political Science and Law, Shanghai 201620, China;
    3. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2011-11-08 Revised:2012-03-13 Online:2012-07-25 Published:2012-07-25

摘要: 嵌入性是社会网络分析的核心思想,现有的互联网结构研究抛开理论思想只借用社会网络分析方法,不利于从深层次上理解和挖掘用户行为与网络结构之间的关系.本文针对二元关系框架分析互联网深层结构的局限性,构建了基于用户偏好的网络行为分析框架,提出了嵌入性网络结构的观点,分析了用户行为与其所处的互联网及现实社会关系网络之间的双重嵌入关系.从关系性嵌入和结构性嵌入两个维度给出了一系列测度指标和分析方法,为分析互联网深层次的网络结构提供了新的研究思路.

关键词: 用户偏好, 嵌入性网络结构, 关系性嵌入, 结构性嵌入, 测度指标

Abstract: Embeddedness is the core idea of social network analysis.The existing Internet structure research only uses the methods as reference but pays no attention to the social network theory.It is not conductive to understanding and mining the deep relationship between user behavior and network structure.Aiming at the limitations of framework of the correlations between users and resources,this paper constructs an analysis framework of network behavior based on user preference,proposes the view of embedded network structure,and analyzes the double embedded relationships among user behavior,Internet social network and real society network.This article present a series of measurement indexes and analysis methods from two dimensions—relational embeddedness and structural embeddedness.The study is an exploration for the deep structure of Internet.

Key words: user preference, embedded network structure, relational embeddedness, structural embeddedness, measurement index

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