The Research on Network Communication Complex System Based on Logistic Equation

Article Preview

Abstract:

In this paper, from the view of the complexity of network organization system, the preliminary research has been carried on network communication complexity system. The concept of the complexity of the network transmission system is introduced in the paper, and networks as complex system is described by the Logistic model. It is a new attempt on the research of network communication with the complexity science research methods based on foundation information science. The research contributes to methodology on the research of the evaluation on network communication effect and network communication content in the future.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

530-534

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Simon·H: Beijing, the commercial press, 1987, pp.166-197.

Google Scholar

[2] warren weaver,science and complexity, Scientist, 1948, 36(4): pp.536-544.

Google Scholar

[3] Jinqing Fang,Xiaofan Wang, Cengrong Liu the research on complexity issues and nonlinear complex network system [J]. Science & Technology Review, 2004, 02: 9-12.

Google Scholar

[4] Ebel H, Mielsch L I, Borbholdt S. Scale-free topology of e-mail networks. Phys Rev E, 202, 66: 035103.

Google Scholar

[5] Kumar R, Novak J, Tomkins A 2006 International Conference on Knowledge Discovery and Data Mining, Proceedings of the 12 ACM SIGKDD international conference on Knowledge discovery and data mining, Philadelphia, PA, USA, August 20-23, 2006 p.611.

DOI: 10.1145/1150402.1150476

Google Scholar

[6] Mislove A, Marcon M, Gummad K P 2007 Internet Measurement Conference, Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, San Diego, California, USA, October24 26, 2007 p.29.

DOI: 10.1145/1298306.1298311

Google Scholar

[7] James M. Lyneis. System dynamics for market forecasting and structural analysis. System Dynamics Review. 2000, 16.

Google Scholar