Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/728
PIRA download icon_1.1View/Download Full Text
Title: Scale-free user-network approach to telephone network traffic analysis
Authors: Xia, Y
Tse, CKM 
Tam, WM
Lau, FCM 
Small, M
Issue Date: Aug-2005
Source: Physical review. E, Statistical, nonlinear, and soft matter physics, Aug. 2005, v. 72, no. 2, 026116, p. 1-7
Abstract: The effect of the user network on the telephone network traffic is studied in this paper. Unlike classical traffic analysis, where users are assumed to be connected uniformly, our proposed method employs a scale-free network to model the behavior of telephone users. Each user has a fixed set of acquaintances with whom the user may communicate, and the number of acquaintances follows a power-law distribution. We show that compared to conventional analysis based upon a fully connected user network, the network traffic is significantly different when the user network assumes a scale-free property. Specifically, network blocking (call failure) is generally more severe in the case of a scale-free user network. It is also shown that the carried traffic is practically limited by the scale-free property of the user network, rather than by the network capacity.
Keywords: Computational methods
Mathematical models
Telecommunication traffic
Publisher: American Physical Society
Journal: Physical review. E, Statistical, nonlinear, and soft matter physics 
ISSN: 1539-3755
EISSN: 1550-2376
DOI: 10.1103/PhysRevE.72.026116
Rights: Copyright 2005 by the American Physical Society.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
user-network_05.pdf140.6 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

125
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

217
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

20
Last Week
0
Last month
0
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

20
Last Week
0
Last month
0
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.