A Dynamic Evolution Model of Short Message Complex Network

您当前的位置：

首页 >

文章列表页 >

A Dynamic Evolution Model of Short Message Complex Network

更新时间：2025-05-08

- A Dynamic Evolution Model of Short Message Complex Network
- Vol. 43, Issue 6, Pages: 5-9(2009)
- 作者机构：
  
  1. 西安理工大学计算机科学与工程学院,西安,710048
  2. 西安交通大学智能网络与网络安全教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Online First：10 June 2009，
  
  Published：2009
- 稿件说明：
移动端阅览
A Dynamic Evolution Model of Short Message Complex Network[J]. 2009, 43(6): 5-9.
DOI：

A Dynamic Evolution Model of Short Message Complex Network[J]. 2009, 43(6): 5-9. DOI：

摘要

为了深入理解手机短信通信网络的演化规律

通过分析手机短信通信网络生长过程的特点

研究了已有复杂网络演化模型刻画短信通信网络生长过程的不足

从而建立了短信通信复杂网络的动态演化模型.该模型在考虑网络动态增长的同时

兼顾了网络内部边的动态演化以及节点的退出

更细致、真实地刻画了短信网络的动态演化特性.实验结果显示

该模型所生成的网络规模表现出有增有减的动态演化过程

与现实情况相吻合

能够更加客观地模拟与刻画短信复杂网络的特征与演化状况.

Abstract

The law of SMS(short message service)network growth is analyzed to understand the evolution of SMS communication network

and the deficiencies of existing complex network models that are used to describe real SMS network are pointed out. Then

a new dynamic evolution model is proposed. The model considers both the network node removing and the inner and outer growth of the network

so that the dynamic evolution of a true network can be described in more detail. Experimental results show that the proposed model describes the growth of SMS network desirably

and the model can more objectively simulate and depict the features and evolution of the SMS complex network.

关键词

Keywords

references

COSTA L F, RODRIGUES F A, TRAVIESO G, et al. Characterization of complex networks: a survey of measurements [J]. Advances in Physics, 2007,56(1): 167-242.

BOCCALETTI S, LATORA V, MORENO Y, et al. Complex networks: structure and dynamics [J]. Physics Reports, 2006, 424: 175-308.

MOTTER A E, MATI·AS M A, KURTHS J, et al. Dynamics on complex networks and application [J]. Physica: D, 2006, 224(1/2):7-8.

LI Xiang, CHEN Guanrong. A local world evolving network model [J]. Physica: A, 2003, 328(1/2): 274-286

刘思林.手机不良短信的社会影响及其综合治理策略 [J]. 北京邮电大学学报(社会科学版), 2004, 6(1): 53-56.

LIU Silin. On harmful effects of short messages of mobile telephone on the society and their treatment in a comprehensive way [J]. Journal of BUPT(Social Sciences Edition), 2004, 6(1): 53-56.

王静,孔令江,刘慕仁. 小世界网络上的手机短信息传播模型 [J]. 广西师范大学学报(自然科学版),2006, 24(3): 2-4.

WANG Jing, KONG Lingjiang, LIU Muren. Model for spread of mobile-telephone short message on small world networks [J]. Journal of Guangxi Normal University(Natural Science Edition), 2006, 24(3): 2-4.

王静,孔令江,刘慕仁. BA网络上的手机短信息传播模型 [J]. 广西物理, 2006, 27(1):20-21.

WANG Jing, KONG Lingjiang, LIU Muren. Model for spread of mobile-telephone short message on BA networks [J]. Physics of Guangxi, 2006, 27(1): 20-21.

WANG Xiaofan, CHEN Guanrong. Complex networks: small world, scale free and beyond [J]. IEEE Circuits and System Magazine, 2003, 3(1): 6-21.

HAYASHI Y. A review of recent studies of geographical scale-free networks [J]. IPSJ Digital Courier, 2006, 1(2): 155-164.

吴晔,肖井华,马宝军,等.手机短信网络的生长过程研究 [J]. 物理学报, 2007, 56(4): 2037-2041.

WU Ye, XIAO Jinghua, MA Baojun, et al. Research on the growing process of short message networks [J]. Acta Phys Sin, 2007, 56(4): 2037-2041.

徐增勇,宋运忠. 谣言短信传播网络拓扑性质研究[J]. 河南理工大学学报(自然科学版), 2008, 27(2):217-223.

XU Zengyong, SONG Yunzhong. On topological properties of propagation networks for rumor shot message [J]. Journal of Henan Polytechnic University(Natural Science Edition), 2008, 27(2):217-223.

ONNELA J P, SARAMAKI J, HYVONEN J, et al. Structure and tie strengths in mobile communication networks [J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(18): 7332-7336.

王艳辉,吴斌,王柏. 电信社群网络静态几何性质分析[J]. 复杂系统与复杂性科学, 2005, 2(2): 54-60.

WANG Yanhui, WU Bin, WANG Bai. Research on static measures of telecom society networks [J]. Complex Systems and Complexity Science, 2005, 2(2): 54-60.

【本刊相关文献链接】

一种可演化网络的研究与实践. 2008, 42(10): 1193-1203.

基于复杂网络理论的流程工业系统安全性分析. 2007, 41(7): 806-810.

基于先验知识与模块性的网络社区结构探测算法. 2007, 41(6): 750-754.

基于小世界网络的复杂系统故障传播模型. 2007, 41(3): 334-338.

基于复杂加权网络的移动协同空间分析. 2006, 40(5): 573-576.

一种基于蚁群聚类的径向基神经网络. 2006, 40(4): 386-389.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Approximation and Fault-Tolerance Performances of Multilayer Feedforward Small World Neural Network

An Irrigation System with Short Message Remote Control

Multi-Bottleneck Identification for Job-Shop Network in Disturbance Environment

Fluctuation Diffusion Network Modeling and Fluctuation Source Identification of Multi-Fluctuation-Source and Multi-Process Machining Processes

Assembly Unit Partitioning Method of Complex Mechanical Products for Error Propagation

Related Author

王孙安 1

张进华 1

杜海峰 2

李小虎 1

席贞强

张梦

魏正英

霍战鹏

Related Institution

School of Mechanical Engineering, Xi'an Jiaotong University

State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University

School of Mechanical Engineering, Xinjiang University, Urumq

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University

⁰