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基于Web2.0的网络用户群“社会性”行为的系统分析
引用本文:刘春茂,米国伟.基于Web2.0的网络用户群“社会性”行为的系统分析[J].图书情报工作,2010,54(20):32-85.
作者姓名:刘春茂  米国伟
作者单位:天津师范大学管理学院
基金项目:2008年国家哲学社会科学基金课题
摘    要:以基于Web2.0的社会网络用户“社会联系”为研究对象,系统地分析“仿生学”意义上群体行为的社会特征,并呈逻辑关联地分析从“人机交互”到“人信息交互”、“社会交互”发展历程中的动力因素及本质特征,社会网络信息资源生成模式的“自组织”现象及其弊端,指出从语义关联角度集成社会网络资源的“社会语义信息系统”的发展方向;在以基于“社会提示”的社会导航及Bradford分布对社会网络的信息资源所产生的过度离散现象进行实例分析的基础上,得出相关结论。

关 键 词:web2.0  社会性网络  网络用户  社会语义  信息交互  信息自组织  
收稿时间:2010-03-09

Systematic Analysis on "Sociality" Behavior of Networked Group Users Under Web2.0 Environment
Liu Chunmao,Mi Guowei.Systematic Analysis on "Sociality" Behavior of Networked Group Users Under Web2.0 Environment[J].Library and Information Service,2010,54(20):32-85.
Authors:Liu Chunmao  Mi Guowei
Institution:Management School of Tianjin Normal University,
Abstract:Using the “social context” of networked group users under the web2.0 environment as research object, the paper systematically analyzes social characteristics of group behaviors from the perspective of bionics, logically studies the driven factors and inner characteristics in the development of human-computer interaction, human-information interaction and social interaction, deeply analyzes the “selforganization” phenomena in the process of information integration for the social web, points out the weakness of the mechanism, and targets the “social semantic information system” from the angle of semantic linkage for the networked information resources. Finally, the paper draws the conclusions based on the Social Navigation and excessive dispersing phenomena related to “social cues” and Bradford’s law respectively.
Keywords:Web2  0  social web  networked user  social semantic  information interaction  information self-organization  
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