Complex Network Based Computer Network Topology Discovery Optimization Algorithm

If we apply the system internal elements as nodes, and the relationship between the elements as connection, then the system form a network. If we put emphasis on the structure of the system and analyze the function of the system from the angle of structure, we’ll find that real network topology properties differ from previous research network, and has numerous nodes, which is called complex networks. In the real word, many complex systems can be basically described by the network, while the reality is that complex systems can be called as “complex network”, such as social network, transportation network, power grids and internet etc. In recent years, many articles about the complex networks are released in the international first-class publications such as Nature, PRL, PNAS, which reflects that the complex networks has become a new research focus.

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Discuss the Design Method of Topology Discovery System Based on SNMP

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.267.594 ◽

2011 ◽

Vol 267 ◽

pp. 594-598

Author(s):

Su Jing Xue

Keyword(s):

Network Management ◽

Network Topology ◽

Computer Network ◽

Design Method ◽

Topology Discovery ◽

Safe Operation ◽

Effect Factor ◽

Effective Network ◽

Discovery Method ◽

Entire Network

Since the network was born, the network management has been the material effect factor which the computer network develops. Taking the reasonable network topology technology has already become the entire network management foundation,and for the isomerism, diverse and changeable network, the importance of network topology survey discovery is also enhancing. studying the highly effective network topology discovery method has the quite vital significance and the value to guarantee the network effective and safe operation.

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Network Layer Network Topology Discovery Algorithm Research

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.2071 ◽

2013 ◽

Vol 347-350 ◽

pp. 2071-2076 ◽

Cited By ~ 1

Author(s):

Jian Xia Ge ◽

Wen Ya Xiao

Keyword(s):

Network Management ◽

Network Topology ◽

Multiple Access ◽

Computer Network ◽

Information Age ◽

Topology Discovery ◽

Discovery Process ◽

Network Layer ◽

Network Information ◽

Security And Reliability

Along with the development of the network information age, people on the dependence of the computer network is more and more high, the computer network itself the security and reliability of becomes very important, the network management put forward higher request. This paper analyzes two algorithms of the network layer topology discovery based on the SNMP and ICMP protocol, based on this, this paper puts forward a improved algorithm of the comprehensive two algorithm, and makes the discovery process that has a simple, efficient, and has a strong generalization, and solved in the discovery process met the subnet judge, multiple access routers identification.

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Network Layer Network Topology Discovery Algorithm Research

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.1327 ◽

2013 ◽

Vol 380-384 ◽

pp. 1327-1332

Author(s):

Jian Xia Ge ◽

Wen Ya Xiao

Keyword(s):

Network Management ◽

Network Topology ◽

Multiple Access ◽

Computer Network ◽

Information Age ◽

Topology Discovery ◽

Discovery Process ◽

Network Layer ◽

Network Information ◽

Security And Reliability

Along with the development of the network information age, people on the dependence of the computer network is more and more high, the computer network itself the security and reliability of becomes very important, the network management put forward higher request. This paper analyzes two algorithms of the network layer topology discovery based on the SNMP and ICMP protocol, based on this, this paper puts forward a improved algorithm of the comprehensive two algorithm, and makes the discovery process that has a simple, efficient, and has a strong generalization, and solved in the discovery process met the subnet judge, multiple access routers identification.

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An Optimization Algorithm of Network Topology Discovery Based on SNMP Protocol

Journal of Computer and Communications ◽

10.4236/jcc.2018.61011 ◽

2018 ◽

Vol 06 (01) ◽

pp. 104-111

Author(s):

Xuliang Zhang

Keyword(s):

Network Topology ◽

Optimization Algorithm ◽

Topology Discovery ◽

Snmp Protocol

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Complex Network Theory in the Application of Optimization Topology Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.651-653.1811 ◽

2014 ◽

Vol 651-653 ◽

pp. 1811-1815 ◽

Cited By ~ 1

Author(s):

Bao Kun An ◽

Yan Feng

Keyword(s):

Complex Network ◽

Network Topology ◽

Network Theory ◽

Computer Network ◽

Rapid Development ◽

Network Models ◽

Complex Network Theory ◽

New Development ◽

The Times ◽

Complex Network Models

Complex network theory is a new theory, which is rising with the rapid development of the computer. At present, the network structure of computers more complex network models already existed, has been unable to meet its topological properties. So, emerge as the times require complex network theory, provides a new development ideas and platform at the same time, complex network theory to the study of computer network topology. This paper firstly introduces the complex network theory, and then about the application of complex network theory in computer topology behavior, research on computer network topology and the experiment and model specific about complex network theory. More reduction.

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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

Tourism and Hospitality ◽

10.3390/tourhosp2010007 ◽

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.

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