The Study Of Information Flow Dynamics In Complex Network

Complex networks have been widely recognized for studying complex systems in nature as a new and efficient tool.Nowadays,the relationship between topological structure and function is more and more concerned by physics researchers of complex networks.The relationship between information dynamics and structure is becoming the mainstream of statistical physics research.Its research significance lies in guidance and analysis.Due to the huge data flow causing network congestion,which seriously plagues the stability of the world network,the process of analyzing the relationship between information dynamics and complex network structures is particularly important.Therefore,the problem of network congestion has become an urgent issue for research.This paper mainly outlines the strategy for solving congestion problems in complex network systems and is divided into five parts.The first part,the research background of the complex network,the main research direction,and the main work introduction of this paper.The second part reviews the related to theoretical physical models and physical parameter definitions,as well as the technical route of studying the dynamic processes of complex networks and the calculated physical quantities.In the third part,through the analysis of the information flow dynamics process of complex networks,an effective method to improve the transport capacity of the transmission network is proposed.Further research shows that the capacity of the network is closely related to the topology,and is affected by factors such as effective transport strategies and different resource allocations.Therefore,in the third chapter,a link-directed is proposed.The transport of the data packet is dispersed to other degrees of small,which make date packets more uniform.In the fourth chapter,an effective node shunting strategy is proposed.On the basis of not changing the structure of the underlying network,the data packets between all the node pairs are sent to each other to obtain the optimal ratio of transport efficiency.The nodes are all involved,and they are able to do what they want,and we verify the feasibility of this method.Finally,we summarize all the work of this paper.