2013International Conference on Instrumentation and Measurement, Computer, Communication and ControlRequires access

An Analytical Method to Complex Network Behavior Characteristics on the Basis of Information Flow

Yahui Li, Xun Jiao, Hong-Wa Yang, Kai Xie, Xiao Zhang

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Abstract

A From the perspective of network science, on a basis of complex network, this paper establishes network node information resource model and network information flow model by analyzing the information flow of network. We analyze network behavior characteristics, such as node information resource distribution, node activeness, network activeness, node types, information delay and network stabilization based on information flow. The result of this paper provides good theoretical basis for the research and development of network analysis tools.

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What this paper is about

A From the perspective of network science, on a basis of complex network, this paper establishes network node information resource model and network information flow model by analyzing the information flow of network. We analyze network behavior characteristics, such as node information resource distribution, node activeness, network activeness, node types, information delay and network stabilization based on information flow. The result of this paper provides good theoretical basis for the research and development of network analysis tools.

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Available abstract

A From the perspective of network science, on a basis of complex network, this paper establishes network node information resource model and network information flow model by analyzing the information flow of network. We analyze network behavior characteristics, such as node information resource distribution, node activeness, network activeness, node types, information delay and network stabilization based on information flow. The result of this paper provides good theoretical basis for the research and development of network analysis tools.

Key concepts: Computer science, Node (physics), Network simulation, Network formation, Basis (linear algebra), Complex network, Flow network, Information flow

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