Small-Time Scale Network Traffic Prediction Using Complex Network Models

2009 ◽  
Author(s):  
Peng Wu ◽  
Yuehui Chen ◽  
Qingfang Meng ◽  
Zhen Liu
Keyword(s):  
Complex Network ◽  
Network Traffic ◽  
Time Scale ◽  
Network Models ◽  
Small Time ◽  
Traffic Prediction ◽  
Scale Network ◽  
Complex Network Models

Small-time scale network traffic prediction based on flexible neural tree

2012 ◽  
Vol 12 (1) ◽  
pp. 274-279 ◽  
Author(s):  
Yuehui Chen ◽  
Bin Yang ◽  
Qingfang Meng
Keyword(s):  
Network Traffic ◽  
Time Scale ◽  
Small Time ◽  
Traffic Prediction ◽  
Scale Network

Modern Diffusion of Products with Complex Network Models

2011 ◽  
pp. 119-133
Author(s):  
Atsushi Tanaka
Keyword(s):  
Complex Networks ◽  
Marketing Strategy ◽  
Complex Network ◽  
Network Models ◽  
Information Propagation ◽  
Multiagent Simulation ◽  
Product Marketing ◽  
Winner Takes All ◽  
Complex Network Models

In this chapter, some important matters of complex networks and their models are reviewed shortly, and then the modern diffusion of products under the information propagation using multiagent simulation is discussed. The remarkable phenomena like “Winner-Takes-All” and “Chasm” can be observed, and one product marketing strategy is also proposed.

Complex Network Model and its Application

2013 ◽  
Vol 791-793 ◽  
pp. 1589-1592
Author(s):  
Shuai Xu ◽  
Bai Da Zhang
Keyword(s):  
Complex Network ◽  
Road Network ◽  
Human Life ◽  
Network Models ◽  
Physical Object ◽  
Statistical Characteristics ◽  
Power Network ◽  
The Stability ◽  
Complex Network Models ◽  
Important Significance

Human life is in a complex network world. In everyday life, the network can be a physical object such as the Internet, power network, road network and neural network; can also abstract not touch, such as interpersonal networks, networks of co-operation in scientific research, product supply chain network, biological populations, networks, etc.. The topology of these networks, the statistical characteristics and the formation mechanism, and so on, has a very important significance for the efficient allocation of resources, provides various functions, as well as the stability of the network, however, due to the complexity of these networks, conventional simplified model and cannot be good solution to the above problems. The complex network and network complexity has become a hot issue in the scientific and engineering concern. This article describes a few common complex network models and its application brief.

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