scholarly journals Railway Network Evaluation Based on Complex Network Analysis

2016 ◽  
Vol 05 (03) ◽  
pp. 560-566 ◽  
Author(s):  
墨林 赵
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Railway Network ◽  
Complex Network Analysis ◽  
Network Evaluation

scholarly journals Complex Network Analysis of Pakistan Railways

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Yasir Tariq Mohmand ◽  
Aihu Wang
Keyword(s):  
Network Analysis ◽  
Structural Properties ◽  
Complex Network ◽  
Small World ◽  
Railway Network ◽  
Railway Stations ◽  
Complex Network Analysis

We study the structural properties of Pakistan railway network (PRN), where railway stations are considered as nodes while edges are represented by trains directly linking two stations. The network displays small world properties and is assortative in nature. Based on betweenness and closeness centralities of the nodes, the most important cities are identified with respect to connectivity as this could help in identifying the potential congestion points in the network.

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.

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

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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