%0 Journal Article
%T Study of Information Flow Behavior on Conditioned Energy Networks<br>条件能量网络中信息流行为的研究
%A XU Rong-fei
%A FAN Tong-rang
%A <br>许荣飞
%A 范通让
%J 计算机科学
%D 2012
%I 
%X The increasing popularity of network applications has touched various aspects of human daily activities. In order to study network interactive behavior better, the network information flow was abstracted as a form driven by the relation of information resource supply and demand. The drive of supply and demand was described by physics concept as the gravity between a pair of nodes. A conditioned energy network model which is not based on details of network behavior mode was built and divided into energy network status and chaotic network status according to the concept of "relative energy". At last, the feasibility that information flow behavior could be studied by the network rule having the mean of energy was verified. It was demonstrated that the model could express information flow behavior of real networks briefly and accurately, had a profound and lasting significance in universality of the application of network strategics and consistency of network study.
%K Network model
%K Energy network
%K Information flow
%K Resource supply and demand
%K Driving force<br>网络模型
%K 能量网络
%K 信息流
%K 资源供求
%K 驱动力
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A97816070393C026FF53B003ED768D88&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=F3090AE9B60B7ED1&sid=0D0D661F0B316AD5&eid=8ECC8E3C81A5CDDB&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0