Titlebook: Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks; Zhong-Ke Gao,Ning-De Jin,Wen-Xu Wang Book 2014 The Author(s)

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MOCK

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Retrieval

Recurrence Network for Characterizing Bubbly Oil-in-Water Flows,nd obtained results as follows: Mapping a time series into a complex network allows quantitatively characterizing the structural characteristics of complex systems that are composed of a large numbers of entities interacting with each other in a complex manner.

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Community Detection in Flow Pattern Complex Network,epresented by a single node and the edge is determined by the strength of correlation between nodes. Flow condition refers to the flow behavior under different proportions of gas flow rate and water flow rate in the pipe. Since we configured 90 different proportions of gas flow rate and water flow r

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Markov Transition Probability-Based Network for Characterizing Horizontal Gas-Liquid Two-Phase Flowhase flow [.]. We here introduce methodology and obtained results as follows: A Markov chain is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states.

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