Complex Network Model and its Application

Shuai Xu; Bai Da Zhang

doi:10.4028/www.scientific.net/AMR.791-793.1589

Paper Titles

Research on Reform and Practice in Bilingual Teaching for Curriculum of Data Structure and Algorithm
p.1570

Production Efficiency of Construction Industry in Shaanxi Province Based on DEA
p.1574

Applied Research and Modeling Based on Web Service Choreography Language
p.1581

Design and Research of Overall Risk Management Information System of Steel Group
p.1585

Complex Network Model and its Application
p.1589

An Effective XML Identifying Feedback Documents Method Based on Two-Stage Ranking Model for Pseudo-Relevance Feedback
p.1593

Warehouse Information Intelligent Optimization System
p.1597

A Research of TOA Wireless Sensor Network Localization Algorithm
p.1601

Research on Characteristics of Horizontal Atmospheric Diffusion Coefficient Based on BP Neural Network
p.1605

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Complex Network Model and its Application

Complex Network Model and its Application

Abstract:

Human life is in a complex network world. In everyday life, the network can be a physical object such as the Internet, power network, road network and neural network; can also abstract not touch, such as interpersonal networks, networks of co-operation in scientific research, product supply chain network, biological populations, networks, etc.. The topology of these networks, the statistical characteristics and the formation mechanism, and so on, has a very important significance for the efficient allocation of resources, provides various functions, as well as the stability of the network, however, due to the complexity of these networks, conventional simplified model and cannot be good solution to the above problems. The complex network and network complexity has become a hot issue in the scientific and engineering concern. This article describes a few common complex network models and its application brief.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1589-1592

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1589

Citation:

Cite this paper

Online since:

September 2013

Authors:

Shuai Xu, Bai Da Zhang

Keywords:

Complex Network, Scale-Free Network, Small World Network, Social Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Newman M. Models of the small world [J]. Journal of Statistical Physics. 2000, 101(3): 819–841.

Google Scholar

[2] Strogatz S. Exploring complex networks [J]. Nature. 2001, 410 (6825): 268–276.

DOI: 10.1038/35065725

Google Scholar

[3] ALBERT R. Statistical mechanics of complex networks [J]. Reviews of Modern Physics. 2002, 74: 47–97.

Google Scholar

[4] Dorogovtsev S, Mendes J. Evolution of networks [J]. Advances in physics. 2002, 51 (4): 1079–1187.

Google Scholar

[5] Watts, J D, Strogatz, et al. Collective dynamics of small-world, networks [J]. Nature. 1998, 393 (6684): 440–442.

DOI: 10.1038/30918

Google Scholar

[6] Milgram S. The small world problem [J]. Psychology today. 1967, 2 (1): 60–67.

Google Scholar

[7] Dodds P, Muhamad R, Watts D. An experimental study of search in global social networks [J]. Science. 2003, 301 (5634): 827–829.

DOI: 10.1126/science.1081058

Google Scholar

[8] Barabási A, Albert R. Emergence of scaling in random networks [J]. Science. 1999, 286 (5439): 509–512.

DOI: 10.1126/science.286.5439.509

Google Scholar

[9] Newman M, Barabasi A, Watts D. The structure and dynamics of networks [M]. Princeton Univ Pr, (2006).

Google Scholar