On the Basic Characteristics of the Micro-blog User’s Information Behavior
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摘要: 以新浪微博为例，利用实证的方法对微博用户的关注行为、评论行为和转发行为进行分析。研究发现，微博是一个资源丰富、节点较多的有向网络，在用户信息发布中，以电脑和移动终端为主，有向移动化发展的趋势；经济发达地区的微博使用者较不发达地区多，用户的信息发布呈周期性；发布的信息内容以自我为中心，大多是与个人相关的信息或者自己感兴趣的信息。研究结果表明，用户关注、评论与转发行为的网络整体密度较小，但是局部呈聚集的趋势。Abstract: Base on the data on Sina weibo, the paper uses empirical methods to analyze micro-blog users' concerned behavior, comments behavior and forwarding behavior, and describes the state of micro-blog overall user behavior in detail, and has a basic understanding for its static behavior. Micro-blog is a directed network with resource-rich and more nodes, more users release information by computers and mobile terminals, and mobiles become more and more popular; the number is bigger in economically developed regions compared with the developing areas; the user's information is self-centered, and the users often publish the information about themselves or what they are interested in. The network of users' concerned behavior, comments behavior and forwarding behavior is less dense as a whole, but partially it tends to gather.
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[1] Twitter用户数突破5亿大关,成为仅次于Facebook的第二大社交网站[EB/OL].(2012-07-31)[2013-04-10]. [2] 中国互联网络信息中心.第30次中国互联网络发展状况统计报告[EB/OL].(2012-01-15)[2013-04-10].. [3] 麦田.深入分析Twitter:聚焦和扩散[J].信息网络,2009(8):60—63. [4] 彭兰.微博发展的动力[J].青年记者,2009(11):53—55. [5] 李林红,李荣荣.新浪微博社会网络的自组织行为研究[J].统计与信息论坛,2012(1):88—94. [6] 易兰丽.基于人类动力学的微博用户行为统计特征分析与建模研究[D].北京:北京邮电大学,2012. [7] 郑兰.微博客世界中用户间互动对用户微博使用行为的影响研究[D].北京:北京邮电大学,2012. [8] Twitter按照关注人数划分的用户趋势图[EB/OL]. (2011-04-01)[2013-04-10]. [9] 新浪科技. 追随者越多所发Tweet也越多[EB/OL]. (2009-06-12)[2013-04-10]. [10] DCCI互联网数据中心.2012年中国微博蓝皮书[EB/OL]. (2012-09-30)[2013-04-10].www.dcci.com.cn.
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