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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2191-530X m experimental time series signals are provided.UnderstandinUnderstanding the dynamics of multi-phase flows has been a challenge in the fields of nonlinear dynamics and fluid mechanics. This chapter reviews our work on two-phase flow dynamics in combination with complex network theory. We systematic

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Community Detection in Flow Pattern Complex Network,ate to obtain 90 conductance fluctuating signals in the gas-water two-phase flow experiment, there are 90 different flow conditions (i.e., the number of nodes contained in FPCN is 90), in which each node corresponds to one of these 90 conductance fluctuating signals.

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Book 2014 work on two-phase flow dynamics in combination with complex network theory. We systematically carried out gas-water/oil-water two-phase flow experiments for measuring the time series of flow signals which is studied in terms of the mapping from time series to complex networks. Three network mapping

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