复杂网络

基于复杂网络社团划分的WebServices聚类

Web services clustering based on detecting community structure in complex network

一种基于复杂网络特性的Internet拓扑模型

A Complex Network Topology Model of the Internet

此模型将交战过程作为多Agent复杂网络的演变过程来研究，而多Agent复杂网络的演变以Agent的自主行为为驱动。

The model takes the combat process as the changing process of complex multi-agent network according to agents ' behavior .

adhoc网络的复杂网络视图

The View of Complex Network for AD HOC Networks

移动Agent技术突破了传统的分布计算模式的制约，对处于复杂网络环境下的大规模的信息协作系统建设具有重要的意义。

The mobile Agent technology overcomes the restriction of traditional distributed computing mode and is a significant solution to large-scaled information and coordination system under a complex network environment .

对Web2.0中一个具有交联结构的复杂网络中的社团结构进行统计分析。

The overlapping community structure in the complex networks with intersection structure is analyzed statistically .

基于BetweennessCentrality提高复杂网络容量的方法

A Method for Improving Complex Network Capacity Based on Betweenness Centrality

现实生活中到处存在着复杂网络，无论是Internet或者WWW，交通线路或者大型电力网络，还是大规模集成电路或者生物网络。

In real life , there is a complex network such as Internet and WWW , transit lines and large electric power network , large-scale integrated circuits and biological network .

然而，现有的网络游戏平台大都是基于C/S架构的，难以满足用户在复杂网络环境中P2P互联的需求。

However , current online game platforms were based on a C / S framework , which could hardly meet clients ' requirements on P2P connections under complex network environment .

并通过该网络的节点权重、节点的度、节点的聚类系数及中心介数等复杂网络统计参数的综合应用，排序获得网页新闻内容的前N个关键词。

Through the comprehensive application of complex network statistical parameters , such as the network node weight , node of the degree , clustering coefficient node and center interface , rank to get the first N keywords of web news content .

然而现实中的网络都是相互耦合在一起的，例如相互依赖的基础设施网以及相互作用的生物种群网等，从而形成了一个由复杂网络组成的网络（NON）。

However , in the real world , the networks are coupled and interdependent . Example include var-ious infrastructures and the interaction of the biological networks . Thereby they forma complex network composed of various interdependent networks ( NON ) .

利用复杂网络理论，将TimetoLive（TTL）的概念引入到物理层中，研究物理层网络的拓扑结构对应用层的P2P网络的资源利用率的影响。

Using complex network theory and introducing the concept of time-to-live ( TTL ) to the physical layer , this paper studies the influence of the physical network topology structure on the P2P network resource utilization of the application layer .

人们发现大量真实网络都表现出小世界和无尺度的特性，例如，面向资源共享的P2P网络，由此复杂网络演化模型成为学术界研究的热点问题。

It is discovered that a large number of real networks have shown small-world and scale-free features , such as the P2P resource-sharing networks , thereby complex network evolution model becomes a hot issue in academic circles .

大多数复杂网络的背后都隐藏着一个普遍的组织规律：非标度性，即网络的连接度分布服从幂法则（p（k）-k-λ），网络被少数具有大量连接的节点所主宰。

Traditionally these networks have been modeled as random graphs . Recent researches find that most complex networks hide generic mechanisms and order : scale-free , namely , the degree of the network follows the power law ( p ( k ) - k - λ) .

人工神经网络（ANN）是一种用以模拟人类智能的复杂网络，现已广泛应用于智能控制、系统辨识、智能检测等领域。

Artificial Neural Network ( ANN ) is a complex network which could simulate some intelligent behaviors of human . It has been widely applied in the fields of intelligent control , system identification , and intelligent supervision etc.

项目的成功实施，将成为国内将PKI技术大规模应用到实际生产中去的具有重大影响的实例，对增强信息系统的安全性和解决复杂网络安全问题具有重要意义。

The successful implement of the project is an exemplification which has great influence on the application of PKI , and is also a significant enhancement of security of information system and solution of security of complicated networks .

本文采用复杂网络分析技术，分别计算出电信社群网络的度、连通性、集聚度、膨胀率、平均最短路径、betweenness等静态几何量

In this paper , we use complex network analysis methods to compute the static measures of every node : connectivity , clustering coefficient , expandability , average

同时，还研究了两种典型的复杂网络模型的同步：Rich-club网络的同步和叶子网络的同步。

Meanwhile , two kinds of typical complex network synchronization are also studied in the paper , which are Rich-club network synchronization and leaf network synchronization .

进一步将此方法推广到复杂网络的混沌同步中。

The method is further promoted to synchronization of complex networks .

复杂网络是以图论为基础而衍生的研究对象。

Complex network is a research object based on graph theories .

有关它的研究由来已久，但多是基于复杂网络的理论研究。

There are many researches which based on the complex network .

基于复杂网络理论的电力通信网脆弱性分析

Vulnerability analysis on power communication network based on complex network theory

基于智能代理的分布式复杂网络管理体系结构

A Distributed Complex Network Management System Architecture Based on Intelligent Agents

一个小型科研合作复杂网络及其分析

A Small Scientific Collaboration Complex Network s and Its Analysis

物理学家研究复杂网络的终极问题是什么？

What is the ultimate goal of the study of complex networks ?

作者推出用计算机求解信号流图的计算方法，此法准确迅速，可求多至99个节点的复杂网络。

This method can efficiently solve the complicated network with 99 nodes .

在此基础上研究了复杂网络的同步问题。

The synchronization of complex networks is further studied on the basis .

使用传统数据挖掘的思想，结合复杂网络的理论和方法，就是网络化数据挖掘技术。

Combine the traditional data mining theory with the complex network way .

目前，复杂网络的研究在路由策略方面取得了不错的进展，但是在这方面仍然存在许多问题有待解决。

At present , great progress has been made in routing strategy .

含有正弦激励一阶复杂网络的响应

Response of first order complicated network containing ain sine excitation