scholarly journals Macro Perspective Research on Transportation Safety: An Empirical Analysis of Network Characteristics and Vulnerability

2020 ◽  
Vol 12 (15) ◽  
pp. 6267 ◽  
Author(s):  
Jing Liu ◽  
Huapu Lu ◽  
Mingyu Chen ◽  
Jianyu Wang ◽  
Ying Zhang
Keyword(s):  
Network Theory ◽  
Simulation Analysis ◽  
Strong Relationship ◽  
Assessment Model ◽  
Transportation Safety ◽  
Node Degree ◽  
Network Efficiency ◽  
Complex Network Theory ◽  
Network Characteristics ◽  
The Relationship

The layout of the China Comprehensive Transportation Corridors and Hubs (CCTCH), depicted in the 13th Five Year Plan of Transportation, revolves around transport integration and economic globalization. With the aim of improving the sustainability of the entire national transportation system, this paper studies the sustainability of the CCTCH from the perspective of network characteristics and network invulnerability. The topological properties of the CCTCH were quantitatively analyzed, based on graph theory and complex network theory. The relationship between the node degree, betweenness, socioeconomic factors (i.e., GDP, population, GDP per capita) and hub type was explored using correlation analysis. A vulnerability assessment model was developed to investigate the influence of node disruption on the whole network, as well as specific origin–destination paths, and a simulation analysis was conducted to examine the variations in the network performances faced with different attack scenarios. The results show that, among several factors, the hub type has a strong relationship with the node degree and a moderate correlation with GDP. We conclude that the CCTCH is relatively fragile from the viewpoint of network efficiency, and for the purpose of international transportation from the domestic border hubs to the economically developed cities.

Complex Network Theory Based Web Services Composition Benchmark Toolkit

2013 ◽  
pp. 1-22
Author(s):  
Seog-Chan Oh ◽  
Dongwon Lee
Keyword(s):  
Web Services ◽  
Complex Network ◽  
Network Theory ◽  
Ground Truth ◽  
Ai Planning ◽  
Web Services Composition ◽  
Complex Network Theory ◽  
Network Characteristics ◽  
Services Composition ◽  
Test Sets

In recent years, while many research proposals have been made toward novel algorithmic solutions of a myriad of web services composition problems, their validation has been less than satisfactory. One of the reasons for this problem is the lack of real benchmark web services data with which researchers can test and verify their proposals. In this chapter, to remedy this challenge, we present a novel benchmark toolkit, WSBen, which is capable of generating synthetic web services data with diverse scenarios and configurations using complex network theory. Web services researchers therefore can evaluate their web services discovery and composition algorithms in a more systematic fashion. The development of WSBen is inspired by our preliminary study on real-world web services crawled from the Web. The proposed WSBen can: (1) generate a collection of synthetic web services files in the WSDL format conforming to diverse complex network characteristics; (2) generate queries and ground truth sets for testing discovery and composition algorithms; (3) prepare auxiliary files to help further statistical analysis; (4) convert WSDL test sets to the formats that conventional AI planners can read; and (5) provide a graphical interface to control all these functions. To illustrate the application of the WSBen, in addition, we present case studies selected from three domains: (1) web services composition; (2) AI planning; and (3) the laws of networks in Physics community. The WSBen toolkit is available at: http://pike.psu.edu/sw/wsben/. This chapter is an invited extension of authors’ previous publication (Oh & Lee, 2009).

Enterprise Cluster Entity Modeling Based on Product

2010 ◽  
Vol 37-38 ◽  
pp. 402-406
Author(s):  
Li Sun ◽  
Jun He Yu ◽  
Hong Fei Zhan ◽  
Yi Xu
Keyword(s):  
Life Cycle ◽  
Complex Network ◽  
Network Theory ◽  
Product Life Cycle ◽  
Product Life ◽  
Complex Network Theory ◽  
Enterprise Cluster ◽  
Relationship Of ◽  
The Relationship ◽  
Process Dimension

Starting from the product life cycle, this paper established the modeling of enterprise cluster entity at the base of analyzing the various products of the enterprise cluster. The modeling comprises the process dimension, resource dimension and organization dimension. Every dimension was expressed by the analysis of product view. Then, based on the complex network theory, we obtained the distribution of the products by the product network. Finally, we got the relationship of enterprise cluster entity from the result of the product network.

Network Characteristics Analysis of the Xinjiang Regional Logistic Based on Complex Networks

2012 ◽  
Vol 522 ◽  
pp. 804-809 ◽  
Author(s):  
Rui Yan Liu ◽  
Yi Ping Yuan ◽  
Shu Guang Tian ◽  
Xiao Juan Li
Keyword(s):  
Mineral Resources ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Logistics System ◽  
Complex Network Theory ◽  
Logistics Network ◽  
Network Characteristics ◽  
Regional Logistics ◽  
Characteristics Analysis ◽  
Straight Line Distance

Reasonable logistics system plays a fundamental role in the process of regional economic development. With the development of Xinjiang's energy resources conversion strategy is ceaseless and thorough, as the country imported energy and scarce mineral resources international channel, Xinjiang internal and external logistics hub action are highlighted with each passing day. In this paper the complex network theory is applied to the Xinjiang regional logistics network, important cities, ports, warehousing point for a node to connect these nodes highway straight-line distance of the railway side, constructed the Xinjiang regional characteristics of the logistics network model. Select the node degree distribution, betweenness, average path length, clustering coefficient as a measure, static statistical properties of the network are analyzed. Provide basic data for the Xinjiang regional logistics network.

Research on Java Development Kit Based on Complex Networks

2014 ◽  
Vol 543-547 ◽  
pp. 2953-2956 ◽  
Author(s):  
Sheng Wen Gong
Keyword(s):  
Complex Networks ◽  
Programming Languages ◽  
Virtual Machine ◽  
Software Reliability ◽  
Network Theory ◽  
Object Oriented ◽  
Java Virtual Machine ◽  
Complex Network Theory ◽  
Java Language ◽  
The Relationship

Java is a computer programming language that is class-based, object-oriented, java is, as of 2013, one of the most popular programming languages in use. The Java Development Kit (JDK) is an implementation of java language, which consists of a Java Virtual Machine and all of the java class libraries. There are thousands of classes in the java class libraries, and there are many kinds of relationships between classes. In this paper, we use complex network theory to study the topology of the java class libraries, according to analyzing to the networks feature characters, important classes and interfaces in java class libraries are found, we hope to find the relationship between the characters of complex networks and software reliability.

scholarly journals Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guangjian Ren
Keyword(s):  
Relative Entropy ◽  
Network Theory ◽  
Robustness Analysis ◽  
Air Transport ◽  
Practical Significance ◽  
Network Efficiency ◽  
Complex Network Theory ◽  
Route Network ◽  
Size Of Giant Component ◽  
Safety And Stability

Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.

scholarly journals Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters

2020 ◽  
Vol 9 (12) ◽  
pp. 697
Author(s):  
Lingzhi Yin ◽  
Yafei Wang
Keyword(s):  
Internal Structure ◽  
Network Flow ◽  
Spatial Location ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Railway Network ◽  
Network Characteristics ◽  
Operation Rules ◽  
The Impact ◽  
The Relationship

The internal structure and operation rules of railway network have become increasingly complex along with the expansion of the network, putting a higher demand on the development of the railway and the reliability and adaptability of the railway under earthquake disasters. The theory and method concerning complex railway network can well capture the internal structure of railway facilities system and the relationship between subsystems. However, most of the research focuses on the vulnerability based on the logical network of railway, deviating from the actual spatial location of railway network. Additionally, only random attacks and deliberate attacks are factored in, ignoring the impact of earthquake disasters on actual railway lines. Therefore, this paper built a geographic railway network and analyzed topological structure of the network and its vulnerability under earthquake disasters. First, the geographic network of Chinese railway was built based on the methods of complex network, linear reference and dynamic segmentation. Second, the spatial distribution of railway network flow was analyzed by node degree, betweenness and clustering coefficient. Finally, the vulnerability of the geographic railway network in areas with high seismic hazards were assessed, aiming to improve the capacity to prevent and resist earthquake disasters.

scholarly journals Identification of Two Vulnerability Features: A New Framework for Electrical Networks Based on the Load Redistribution Mechanism of Complex Networks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xiaoguang Wei ◽  
Shibin Gao ◽  
Tao Huang ◽  
Tao Wang ◽  
Wenli Fan
Keyword(s):  
Complex Networks ◽  
Network Theory ◽  
Large Scale ◽  
Electrical Networks ◽  
Complex Network Theory ◽  
Load Redistribution ◽  
Redistribution Mechanism ◽  
Critical Paths ◽  
The Relationship ◽  
New Framework

This paper proposes a new framework to analyze two vulnerability features, impactability and susceptibility, in electrical networks under deliberate attacks based on complex network theory: these two features are overlooked but vital in vulnerability analyses. To analyze these features, metrics are proposed based on correlation graphs constructed via critical paths, which replace the original physical network. Moreover, we analyze the relationship between the proposed metrics according to degree from the perspective of load redistribution mechanisms by adjusting parameters associated with the metrics, which can change the load redistribution rules. Finally, IEEE 118- and 300-bus systems and a realistic large-scale French grid are used to validate the effectiveness of the proposed metrics.

scholarly journals A Study on the Attention of Yoga and Its Development Based on Complex Network Theory

2021 ◽  
Vol 9 ◽  
Author(s):  
Pengchao Li ◽  
Qinghong Miao ◽  
Yuchi Meng ◽  
Jie Ning ◽  
Jing Long ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Complex Network Theory ◽  
Network Characteristics ◽  
National Education ◽  
Healthy Development ◽  
Related Data ◽  
Data Source ◽  
Search Index ◽  
Communication Equipment

Taking Baidu search index as the data source, this research collects yoga-related data in various provinces in China, analyzes the public’s attention to yoga on the Internet from the perspective of the complex network theory, so as to dig out characteristics of those who are interested in yoga as well as the temporal and spatial change of yoga attention from 2011 to 2020. Then, by transforming the time series into a network through the VG model and HVG model, the paper analyzes the network characteristics and predicts the popularity of yoga. Furthermore, the publicity of yoga and the public’s attention to it are analyzed, considering the policy, national education level, the influence of TV, mobile phone and other communication equipment, so as to help the market to provide corresponding products and services in a targeted manner and to promote the healthy development of the yoga industry.

Analysis on Chinese Airline Network Invulnerability

2019 ◽  
Vol 7 (4) ◽  
pp. 359-372
Author(s):  
Yong Yang ◽  
Kaijun Xu ◽  
Honghui Xiang
Keyword(s):  
Network Theory ◽  
Simulation Analysis ◽  
Air Transportation ◽  
Transportation Systems ◽  
Efficient Tool ◽  
Complex Network Theory ◽  
Scale Free ◽  
Spring Festival ◽  
Air Transportation Systems ◽  
Airline Network

Abstract Air transportation systems are often subject to failures or attacks induced by unexpected abominable weather or temporal airspace occupation, while complex networks have been springing up as a convenient yet efficient tool to represent and analyze various realistic complex systems such as realistic airline system. In terms of Chinese airline network formed during the spring festival timespan, structural empirical research and invulnerability simulation analysis against various deliberate attack strategies were made using complex network theory, where nodes and edges denotes domestic airports and direct flights between them respectively. The analysis results indicate: The presented airline network is a small net-work with scale-free characteristics, and correlation shows remarkable hierarchical structure and obvious assortative characteristics; The network shows obvious invulnerability under deliberate node attack, while shows partly robustness under edge attack even with obvious attack effects against various attack strategies.

Research on the Evolution of the Complex Network Theory Based on the International Coal Trade

2014 ◽  
Vol 672-674 ◽  
pp. 2173-2177
Author(s):  
Yang Yang He ◽  
Ling Wang
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Network Theory ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Degree Centrality ◽  
Trade Data ◽  
Complex Network Theory ◽  
The Difference ◽  
Coal Trade

According to the international coal trade data of the years from 1996 to 2011 published by UN COMTRADE (UNSD), it can be inferred that the data is mainly about international trade of raw coal and related coal products. By adopting the theory of complex network analysis, this paper calculates the complex network of international coal trade in the aspect of its density, node degree, centrality, point strength, clustering coefficient. Based on these properties, this paper further analyzes the evolution rule for international coal trade network of raw coal, coal briquettes and ovate coal over the last 16 years, as well as the difference between the pre-and after financial crisis.

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