scholarly journals Complex network analysis of phase dynamics underlying oil-water two-phase flows

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhong-Ke Gao ◽  
Shan-Shan Zhang ◽  
Qing Cai ◽  
Yu-Xuan Yang ◽  
Ning-De Jin
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Two Phase Flows ◽  
Two Phase ◽  
Phase Dynamics ◽  
Complex Network Analysis ◽  
Oil Water

Complex Network Analysis of Wire-Mesh Sensor Measurements for Characterizing Vertical Gas–Liquid Two-Phase Flows

2020 ◽  
Vol 67 (6) ◽  
pp. 1134-1138 ◽  
Author(s):  
Zhongke Gao ◽  
Hongtao Wang ◽  
Weidong Dang ◽  
Yongqiang Li ◽  
Xiaolin Hong ◽  
...  
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Wire Mesh ◽  
Two Phase Flows ◽  
Two Phase ◽  
Complex Network Analysis

scholarly journals Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhong-Ke Gao ◽  
Yu-Xuan Yang ◽  
Lu-Sheng Zhai ◽  
Wei-Dong Dang ◽  
Jia-Liang Yu ◽  
...  
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Two Phase Flow ◽  
Small Diameter ◽  
Phase Flow ◽  
Two Phase ◽  
Complex Network Analysis ◽  
Diameter Pipe ◽  
Oil Water

scholarly journals Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece

2021 ◽  
Vol 2 (1) ◽  
pp. 113-139
Author(s):  
Dimitrios Tsiotas ◽  
Thomas Krabokoukis ◽  
Serafeim Polyzos
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Community Detection ◽  
Optimization Algorithm ◽  
Spatial Dimension ◽  
Economic Dimension ◽  
Complex Network Analysis ◽  
Time Period ◽  
Time Patterns ◽  
Spatio Temporal

Within the context that tourism-seasonality is a composite phenomenon described by temporal, geographical, and socio-economic aspects, this article develops a multilevel method for studying time patterns of tourism-seasonality in conjunction with its spatial dimension and socio-economic dimension. The study aims to classify the temporal patterns of seasonality into regional groups and to configure distinguishable seasonal profiles facilitating tourism policy and development. The study applies a multilevel pattern recognition approach incorporating time-series assessment, correlation, and complex network analysis based on community detection with the use of the modularity optimization algorithm, on data of overnight-stays recorded for the time-period 1998–2018. The analysis reveals four groups of seasonality, which are described by distinct seasonal, geographical, and socio-economic profiles. Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

Combining K-means method and complex network analysis to evaluate city mobility

2016 ◽  
Author(s):  
Emerson Luiz Chiesse da Silva ◽  
Marcelo De Oliveira Rosa ◽  
Keiko Veronica Ono Fonseca ◽  
Ricardo Luders ◽  
Nadia Puchaslki Kozievitch
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Complex Network Analysis

scholarly journals Structure and patterns of the international rare earths trade: A complex network analysis

2018 ◽  
Vol 55 ◽  
pp. 133-142 ◽  
Author(s):  
Wenyu Hou ◽  
Huifang Liu ◽  
Hui Wang ◽  
Fengyang Wu
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Rare Earths ◽  
Complex Network Analysis
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