scholarly journals Analysis on topological properties of Beijing urban public transit based on complex network theory

2012 ◽  
Vol 61 (19) ◽  
pp. 190510
Author(s):  
Zheng Xiao ◽  
Chen Jian-Ping ◽  
Shao Jia-Li ◽  
Bie Li-Dong
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Public Transit ◽  
Topological Properties ◽  
Complex Network Theory

scholarly journals Similar Seismic Activities Analysis by Using Complex Networks Approach

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 778 ◽  
Author(s):  
Xuan He ◽  
Luyang Wang ◽  
Zheng Liu ◽  
Yiwen Liu
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Topological Properties ◽  
Earthquake Occurrence ◽  
Complex Network Theory ◽  
Time Symmetry ◽  
The World ◽  
Network Similarity ◽  
Seismic Catalogs ◽  
Different Time Scales

Seismic activities show a space-time symmetry in some research. They have been recently studied using complex network theory. Earthquake network similarity is studied by us from seismic catalogs in the same region for a given period of time. In this paper, we first calculate the distance between feature vectors which represent the topological properties of different networks. A hierarchical clustering of earthquake networks in the same region is shown by using this method. It is found that similar networks are not the networks of adjacent years but those with decades time difference. To study the period of similar earthquake networks in the same region, we use wavelet analysis to obtain the possible periods at different time scales of the regions of the world, California and Japan. It is found that some of the possible periods are consistent with the results which have been already found by seismologists. The study of similar seismic activities from the perspective of the complex network will help seismologists to study the law of earthquake occurrence in a new way, which may provide possible research thinking for earthquake prediction.

scholarly journals Modeling and Topological Properties of a V2I Sub Network in VANET Based on a Complex Network

2015 ◽  
Vol 15 (4) ◽  
pp. 149-160 ◽  
Author(s):  
Hong Zhang ◽  
Li He
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Intelligent Transportation ◽  
System Structure ◽  
Topological Properties ◽  
Basic Part ◽  
Complex Network Theory ◽  
Wireless Communication Network

Abstract Vehicles to Infrastructure (V2I) communicate with each other in a Vehicular Ad hoc NETwork (VANET) that can be represented as a complex network. In them much interest has been attracted towards the topological properties and structure recently, and many studies focus the attention on it, in particular V2I sub network. V2I is an important basic part of the future intelligent transportation, which transfers information through a wireless communication network. Analyzing the topological properties would help understand the VANET system structure and reveal the essence of the network. In this paper we propose a V2I model in VANET based on the complex network theory, analyzing the degree distribution. VANET topology characteristics are designed and discussed. The simulation results further illustrate the efficiency and applicability of the proposed approach.

scholarly journals A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-36 ◽  
Author(s):  
Lin Zhang ◽  
Jian Lu ◽  
Bai-bai Fu ◽  
Shu-bin Li
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Public Transit ◽  
Engineering Application ◽  
Deep Understanding ◽  
Development Trend ◽  
Realistic Model ◽  
Transit Network ◽  
Complex Network Theory ◽  
Transit Operation

The complexity and resilience of urban public transit network (PTN) are the interdisciplinary study area between transportation engineering and system science, which is a good demonstration of applying complex network theory to promote the development of engineering science. The deep understanding of this study helps to provide a new perspective for analyzing the reliability of urban PTN. Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. In the literature review, multiple key items are, respectively, extracted for each topic, and the engineering applicability of each topic is also analyzed, which are both for obtaining the key features of this study area. Finally, in order to realize the development trend of cyclic and forward—complex network theory, network resilience theory, transforming into a realistic model and method that is close to actual public transit operation, engineering application and practice, and contributing to complex network theory, the study status is summarized and the future development trend is prospected.

scholarly journals Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin

2021 ◽  
Vol 18 (4) ◽  
pp. 1427
Author(s):  
Shuang Song ◽  
Dawei Xu ◽  
Shanshan Hu ◽  
Mengxi Shi
Keyword(s):  
Complex Network ◽  
Network Optimization ◽  
Network Theory ◽  
Habitat Destruction ◽  
Landscape Patterns ◽  
Ecological Network ◽  
Complex Network Theory ◽  
Ecological Corridors ◽  
Low Degree ◽  
Central District

Habitat destruction and declining ecosystem service levels caused by urban expansion have led to increased ecological risks in cities, and ecological network optimization has become the main way to resolve this contradiction. Here, we used landscape patterns, meteorological and hydrological data as data sources, applied the complex network theory, landscape ecology, and spatial analysis technology, a quantitative analysis of the current state of landscape pattern characteristics in the central district of Harbin was conducted. The minimum cumulative resistance was used to extract the ecological network of the study area. Optimized the ecological network by edge-adding of the complex network theory, compared the optimizing effects of different edge-adding strategies by using robustness analysis, and put forward an effective way to optimize the ecological network of the study area. The results demonstrate that: The ecological patches of Daowai, Xiangfang, Nangang, and other old districts in the study area are small in size, fewer in number, strongly fragmented, with a single external morphology, and high internal porosity. While the ecological patches in the new districts of Songbei, Hulan, and Acheng have a relatively good foundation. And ecological network connectivity in the study area is generally poor, the ecological corridors are relatively sparse and scattered, the connections between various ecological sources of the corridors are not close. Comparing different edge-adding strategies of complex network theory, the low-degree-first strategy has the most outstanding performance in the robustness test. The low-degree-first strategy was used to optimize the ecological network of the study area, 43 ecological corridors are added. After the optimization, the large and the small ecological corridors are evenly distributed to form a complete network, the optimized ecological network will be significantly more connected, resilient, and resistant to interference, the ecological flow transmission will be more efficient.

scholarly journals The South African Banking Director Network: An Investigation Into Interlocking Directorships Using Social Network Analysis (SNA)

2014 ◽  
Vol 13 (5) ◽  
pp. 963
Author(s):  
Burgert A. Senekal ◽  
Karlien Stemmet
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Complex Systems ◽  
South African ◽  
Complex Network ◽  
Network Theory ◽  
Complex Network Theory ◽  
International Trends ◽  
Director Network

The theory of complex systems has gained significant ground in recent years, and with it, complex network theory has become an essential approach to complex systems. This study follows international trends in examining the interlocking South African bank director network using social network analysis (SNA), which is shown to be a highly connected social network that has ties to many South African industries, including healthcare, mining, and education. The most highly connected directors and companies are identified, along with those that are most central to the network, and those that serve important bridging functions in facilitating network coherence. As this study is exploratory, numerous suggestions are also made for further research.

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