%0 Journal Article
%T Popularity based network statistical analysis in peer-to-peer application<br>基于资源流行度的对等网络统计特征分析
%A Wang Jing-Xin
%A Wang Yue
%A Li Yi-Peng
%A Yuan Jian
%A Shan Xiu-Ming
%A Feng Zhen-Ming
%A Ren Yong
%A <br>王景欣
%A 王钺
%A 李一鹏
%A 袁坚
%A 山秀明
%A 冯振明
%A 任勇
%J 物理学报
%D 2011
%I 
%X There are rich statistical characteristics in a peer-to-peer (p2p) network. The more refined statistical characteristics still need further understanding. In this paper we define the popularity threshold of the resource, and abstract the user network based on the popularity threshold to reflect the refined structure characteristics. Through the emprical study of a workload from a dominant peer-to-peer file sharing system, we confirm that the user network based on the popularity threshold has more clear cluster features than the original network. With the popularity threshold of resource increasing, the clustering is more evident. The homoplasy of users within the same cluster is enhanced. The clustering accuracy is inproved. Furthermore, in this paper we extract the cluster fingerprints which can provide a high representation accuracy in low dimensions.
%K peer-to-peer network
%K popularity threshold
%K cluster structure
%K cluster fingerprint<br>对等网络
%K 流行度阈值
%K 簇结构
%K 簇指纹
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=7FB288757ED284A0021ED9AF04B0BE4B&yid=9377ED8094509821&vid=BFE7933E5EEA150D&iid=708DD6B15D2464E8&sid=A752E1464FAFCFFE&eid=A752E1464FAFCFFE&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=16