Clustering Ontology-enriched Graph Representation for Biomedical Documents based on Scale-Free Network Theory

2006 ◽  
Author(s):  
Illhoi Yoo ◽  
Xiaohua Hu
Keyword(s):  
Network Theory ◽  
Graph Representation ◽  
Scale Free Network ◽  
Scale Free ◽  
Free Network

scholarly journals SCALE-FREE NETWORK THEORY IN STUDYING THE STRUCTURE OF THE ROAD NETWORK IN POLAND

2014 ◽  
Vol 26 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Katarzyna KOCUR-BERA
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Network Theory ◽  
Road Network ◽  
Scale Free Network ◽  
Scale Free ◽  
The Road ◽  
Normal Character ◽  
Free Network ◽  
The Relationship

This paper discusses the issue of statistical analysis of traffic flow in different regions of Poland. Such analysis allows us to identify “valuable (sensitive) areas” whose damage or blockage may provoke considerable disturbances or even a stoppage of traffic flow in the examined road network. The results of the studies indicate that the road network in Poland has the properties of a scale-free network. The distribution of the examined variables does not have a normal character, whereas the relationship between the number of nodes and the number of connections is a power-law feature. 

Design of the Small World Model by NS2

2014 ◽  
Vol 496-500 ◽  
pp. 2338-2341
Author(s):  
Jun Shang ◽  
Hao Qiang Liu ◽  
Qiang Liu ◽  
Zi Qi Liu
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Applied Research ◽  
Lower Cost ◽  
Small World ◽  
Scale Free Network ◽  
World Model ◽  
Complex Network Theory ◽  
Scale Free ◽  
Free Network

WSN is the network which is used mostly in the world nowadays, and it has the characteristics that lower cost and better functions than other kinds of the network, and the WSN network is built by the ordinary nodes and the super nodes.Theoretical study of the complex network is widely involved in the fields of computer networks, and the applied research becomes more and more important in the future. It has caused many academic attention about how to apply the complex network theory among the specific application in recent years. In the complex network theory, there has been a number of important research results about the use of the small-world network, scale-free network in the field of transportation.

scholarly journals Identification of common points in hybrid geodetic networks to determine vertical movements of the Earth’s crust

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kamil Kowalczyk ◽  
Anna Maria Kowalczyk ◽  
Jacek Rapiński
Keyword(s):  
Network Theory ◽  
Hybrid Networks ◽  
Hybrid Network ◽  
Scale Free Network ◽  
Regional Network ◽  
Vertical Movements ◽  
Scale Free ◽  
Use Of Data ◽  
Free Network ◽  
Gnss Observations

Abstract Simultaneous use of data repeated levelling measurements and continuous GNSS observations allows increasing the spatial resolution of geodynamics models. For this purpose, it is necessary to create a single network, a so-called hybrid network. This paper aims at examining the possibility of using scale-free network theory to determine the most relevant common points in hybrid networks using the distance criterion. Used on European network points: UELN (United European Levelling Network) and EPN (European Permanent GPS Network) and the regional network. In the hybrid network (UELN + EPN), 18 pseudo-nodal points with the highest number of links were identified. The accepted distance criterion shows that about 90 % of the EPN points can be used as common points. The application of the scale-free network theory allows determining the significance of points in a hybrid network.

scholarly journals Study on connectivity mechanism and robustness of three-dimensional pore network of sandstone based on complex network theory

2017 ◽  
Author(s):  
Guannan Liu ◽  
Xiaopeng Pei ◽  
Feng Gao ◽  
Xin Liang ◽  
Jianguo Wang ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Structural Characteristics ◽  
Dominant Role ◽  
Three Dimensional ◽  
Scale Free Network ◽  
Complex Network Theory ◽  
Scale Free ◽  
Free Network ◽  
And Migration

Abstract. There are a large number of pores and throats inside the rock, with different magnitude and shape, whose connection is complex[1–3]. Based on the complex network theory, combined with X–ray CT scan and image processing technology, we used sandstone as an example to study the structural characteristics of rock network of different porosities. The experimental results show that the seepage network of sandstone is similar to the BA scale-free network in the structural characteristics. The average path length of sandstone generally increases with the increase of network magnitude. The average of number of edges of node plays a dominant role for the porosity of sandstone. It is inferred that in the large number of pores, few pores with a number of connections have an important role in the overall connectivity of the sandstone seepage network. At the same time, sandstone seepage network has better fault tolerance rate and robustness to external random attacks. The results of this paper may provide a new idea for the study of fluid storage and migration mechanisms in porous materials and the application of complex network theory in interdisciplinary fields.

A New Energy-Efficient and Fault-Tolerant Evolution Model for Large-Scale Wireless Sensor Networks Based on Complex Network Theory

2019 ◽  
Vol 10 (3) ◽  
pp. 21-36 ◽  
Author(s):  
Xiaobo Tan ◽  
Ji Tang ◽  
Liting Yu ◽  
Jialu Wang
Keyword(s):  
Network Theory ◽  
Energy Efficient ◽  
Large Scale ◽  
Fault Tolerant ◽  
Evolution Model ◽  
Scale Free Network ◽  
Complex Network Theory ◽  
Network Characteristics ◽  
Scale Free ◽  
Free Network

In this article, the authors present a new novel energy-efficient and fault-tolerant evolution model for large-scale wireless sensor networks based on complex network theory. In the evolution model, not only is the residual energy of each node considered, but also the constraint of links is introduced, which makes the energy consumption of the whole network more balanced. Furthermore, both preferential attachment and random attachment to the evolution model are introduced, which reduces the proportion of the nodes with high degree while keeping scale-free network characteristics to some extent. Theoretical analysis shows that the new model is an extension of the BA model, which is a mixed model between a BA model and a stochastic model. Simulation results show that EFEM has better stochastic network characteristics while keeping scale-free network characteristics if the value of random probability is near 0.2 and it can help to construct a high survivability network for large-scale WSNs.

Pinning Control of Enterprise Marketing Network Based on Complex Network Theory

2014 ◽  
Vol 533 ◽  
pp. 491-494
Author(s):  
Xiao Hong Qin ◽  
Wei Ge
Keyword(s):  
Network Topology ◽  
Control Strategy ◽  
Network Theory ◽  
Large Scale ◽  
Pinning Control ◽  
Scale Free Network ◽  
Complex Network Theory ◽  
Scale Free ◽  
Free Network ◽  
Marketing Network

Complex enterprise marketing network is typical scale-free network. Based on the non-uniformity of enterprise marketing network topology, we select pinning control strategy. There are network members for selection a certain percentage to exercise control, to use of virtual control action associated with the coupling between network members, making large-scale enterprise marketing network reaches a steady state. Paper showed that pinning control is effectiveness to control of enterprise marketing for network.

Research on new evolution model of scale-free network

2009 ◽  
Vol 29 (5) ◽  
pp. 1230-1232
Author(s):  
Hao RAO ◽  
Chun YANG ◽  
Shao-hua TAO
Keyword(s):  
Evolution Model ◽  
Scale Free Network ◽  
Scale Free ◽  
Free Network
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