%0 Journal Article
%T Community relationship mining method based onusers'' cognition degree<br>基于认知度的用户好友社团关系挖掘方法
%A MENG Cong
%A HUANG Yong-feng
%A YING Li-zhi
%A <br>孟　聪
%A 黄永峰
%A 应励志
%J 计算机应用研究
%D 2012
%I 
%X How to unearth relationships of network users is a hot spot of social network research fields. In some famous social network websites, such as RenRen. com and Facebook, relationship is characterized by users' registration information, but for users of BBS and micro-blog, the relationship can not characterize by registration information. Therefore, according to features of BBS users, this paper introduced the concept of cognition degree to describe the behavior of users' interactions. Furthermore, it proposed a community relationship mining algorithm based on users' cognition degree. At the same time, it put forward a visual presentation method. This method could intuitively show communities of BBS users and their classifications. Experiments on http://smth. edu. cn and other BBS systems show the method above has a good performance.
%K BBS
%K cognition degree
%K community relations<br>BBS
%K 认知度
%K 社团关系
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C2AB4F886AE798C9380F9694F0D5FB2B&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=2FD5A51E36BB2863&eid=EA99B0049CCE231E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13