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Research On Delay Feature Of New Software Product Information Diffusion In Complex Network

Posted on:2011-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:H B LiangFull Text:PDF
GTID:2210330362456841Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In the paper, multi-agent simulation method is adopted to analyze the delay features of information diffusion process in different complex network environments of new software product and discuss the internal relations between network topology and the delay function. Multi-agent simulation models of new software product information diffusion are built firstly, and the diffusion data with different network parameters is obtained through simulation. Then a delay function fitting algorithm based on the principle of least squares is designed, which is implemented by Java language. The corresponding relationships between network parameters and delay function are obtained by running the Java program.The study found that the information diffusion process in scale-free network and small world network can be described by a delay function, but the delay function parameters are related to specific network topology. The initial nodes of scale-free network determine the number of major nodes in the network, and the initial number of nodes is negatively related to the average delay time of fitting delay function. The average degree and reconnection probability of small world network jointly determine the delay features of new software product information diffusion process, but their effects are opposite: the average degree has a positive correlation with the order of delay function and a negative correlation with the average delay time of the delay function, while the reconnection probability is opposite.Both scale-free network and small world network are theory networks that generated by a computer program, therefore they cannot absolutely replace the actual network. A real relationships network is constructed by capturing network structure data of kaixin001 website, and a multi-agent simulation model of new software product information diffusion based on this real relationships network is built. The research found that the relationships network has scale-free feature and small world feature concurrently, and its diffusion curve corresponds with a second order delay function, the average delay time is associated with the network capacity.
Keywords/Search Tags:Complex Network, Multi-Agent Simulation, Delay Feature, New Software Product, Information Diffusion
PDF Full Text Request
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