%0 Journal Article
%T Spreading Dynamics Model Research on P2P Specific Information<br>面向P2P特定信息的传播动力学模型研究
%A DING Jun-ping
%A CAI Wan-dong
%A <br>丁军平
%A 蔡皖东
%J 计算机科学
%D 2011
%I 
%X Spreading of P2P specific information and epidemic are similar to each other, thus spreading dynamics becomes new research direction of P2P specific information spreading. Since the existing spreading dynamics model cannot accurately simulate P2P specific information spreading process, we improved the SEIR spreading dynamics model, and established the new SEInR spreading model. Main features of this model are as follows:dividing the traditional infected group(I) into n sulrgroups,each of which has different parameter;and establishing the transformation relationship between Exposed (E) and Removed (R). Matrix theory was applied to get formula of basic reproductive number for SEInR model, and the basic reproductive number was analyzed. The simulation result indicates that the improved SEInR model can much more accurately simulate P2P specific information spreading process than traditional SEIR model; and the basic reproductive number can accurately reflect P2P specific information threshold.
%K P2P specific information
%K Spreading dynamics
%K SEIR model
%K Basic reproductive number
%K Complex network<br>P2P特定信息，传播动力学，SEIR模型，基本再生数，复杂网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79C57E47B94BC25720&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=708DD6B15D2464E8&sid=6700D0D256586E73&eid=5267169856A97212&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0