ArticleScientific reports2015
Multi-frequency complex network from time series for uncovering oil-water flow structure.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed.
- Incorporation of causality structures to complex network analysis of time-varying behaviour of multivariate time series.Scientific reports · 2021Article
- Coupling analysis of contra-rotating fan interstage pressure pulsation and blade vibration based on wavelet reconstruction.PloS one · 2021Article
- Preferential flow pathways in a deforming granular material: self-organization into functional groups for optimized global transport.Scientific reports · 2019Article
- PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow.Scientific reports · 2017Article
- A Robust Method for Inferring Network Structures.Scientific reports · 2017Article
- On strongly connected networks with excitable-refractory dynamics and delayed coupling.Royal Society open science · 2017Article
- Utilization of a combined EEG/NIRS system to predict driver drowsiness.Scientific reports · 2017Article
- Dynamic properties of calcium-activated chloride currents in Xenopus laevis oocytes.Scientific reports · 2017Article
- Topological properties of a self-assembled electrical network via ab initio calculation.Scientific reports · 2017Article
- Memory and betweenness preference in temporal networks induced from time series.Scientific reports · 2017Article
- Constructing Robust Cooperative Networks using a Multi-Objective Evolutionary Algorithm.Scientific reports · 2017Article
- Microscopic Evolution of Laboratory Volcanic Hybrid Earthquakes.Scientific reports · 2017Article
- Model and Comparative Study for Flow of Viscoelastic Nanofluids with Cattaneo-Christov Double Diffusion.PloS one · 2017Article
- Radiation effects on the mixed convection flow induced by an inclined stretching cylinder with non-uniform heat source/sink.PloS one · 2017Article
- Discrete multi-physics: A mesh-free model of blood flow in flexible biological valve including solid aggregate formation.PloS one · 2017Article
- Investigation on law and economics of listed companies' financing preference based on complex network theory.PloS one · 2017Article
- Organization of biogeochemical nitrogen pathways with switch-like adjustment in fluctuating soil redox conditions.Royal Society open science · 2017Article
- A revised model for Jeffrey nanofluid subject to convective condition and heat generation/absorption.PloS one · 2017Article
- Evolution of scaling behaviors embedded in sentence series from A Story of the Stone.PloS one · 2017Article
- Complex Network Analysis for Characterizing Global Value Chains in Equipment Manufacturing.PloS one · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncovering complex oil-water flow structure represents a challenge in diverse scientific disciplines. This challenge stimulates us to develop a new distributed conductance sensor for measuring local flow signals at different positions and then propose a novel approach based on multi-frequency complex network to uncover the flow structures from experimental multivariate measurements. In particular, based on the Fast Fourier transform, we demonstrate how to derive multi-frequency complex network from multivariate time series. We construct complex networks at different frequencies and then detect community structures. Our results indicate that the community structures faithfully represent the structural features of oil-water flow patterns. Furthermore, we investigate the network statistic at different frequencies for each derived network and find that the frequency clustering coefficient enables to uncover the evolution of flow patterns and yield deep insights into the formation of flow structures. Current results present a first step towards a network visualization of complex flow patterns from a community structure perspective.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.