条件能量网络中信息流行为的研究  

Study of Information Flow Behavior on Conditioned Energy Networks

作　　者：许荣飞[1] 范通让[1] 

机构地区：[1]石家庄铁道大学信息科学与技术学院,石家庄050043

出　　处：《计算机科学》2012年第10期82-85,118,共5页Computer Science

基　　金：国家自然科学基金(60873208);河北省自然科学基金(F2009000927)资助

摘　　要：网络应用的日益普及关系到人们日常活动的各个方面。为了更好地研究网络交互行为,从网络信息流出发,将网络行为抽象成一种依靠信息资源供应关系驱动的形式,借助物理学概念将这种供应关系用节点间引力来表示,构造出一种不基于网络行为实现细节的抽象的条件能量网络模型,并根据定义的"相对能"意义将网络模型分为能量网络和混沌网络两种状态。最后,通过实验验证利用具有能量意义的网络交互规则研究信息流行为的可行性,结果显示,条件能量网络模型能简单、准确地描述现实网络中的信息流行为,对于网络策略运用的普遍性和网络研究的一致性具有深远意义。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 strategies and consistency of network study.

关 键 词：网络模型 能量网络 信息流 资源供求 驱动力 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]