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Published in:
2014 | OriginalPaper | Chapter
4. Community Detection in Flow Pattern Complex Network
Authors : Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang
Published in: Nonlinear Analysis of Gas-Water/Oil-Water Two-Phase Flow in Complex Networks
Publisher: Springer Berlin Heidelberg
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Abstract
Flow Pattern Complex Network (FPCN) [1], extracted from the conductance fluctuating signals, is an abstract network, in which each flow condition is represented 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 rate 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.