NDLI: A weighted network model with simultaneous change of node and edge

Content Provider	IEEE Xplore Digital Library
Author	Junfen Mu Hexu Sun Jinhuan Wang Shurui Fan Jiaping Pan
Copyright Year	2014
Description	Author affiliation: Grad. Sch., Hebei Univ. of Technol., Tianjin, China (Jiaping Pan) \|\| Sch. of Inf. Eng., Hebei Univ. of Technol., Tianjin, China (Shurui Fan) \|\| Sch. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China (Junfen Mu; Hexu Sun; Jinhuan Wang)
Abstract	In this paper, we propose a new weighted evolving complex network model. In this model, besides a new node's introduction to the networks and new edges'adding between this new node and old nodes, there are also new edges'adding between old vertices, existing edges' removal, and old sites'deletion. Using mean field theory, we establish the evolution equation of strengths and weights. And we performed numerical simulations of networks generated by using the present model. The simulation results show that this network model yields three power-law distributions for the node degrees, connection weights and node strengths respectively, as confirmed in many real networks; and the strength highly correlates with the degree and displays scale-free property, which is in consistence with empirical evidence.
Starting Page	2805
Ending Page	2809
File Size	135103
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6897083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Weighted Evolving Network Power-law Distributions Simulation Complex networks Educational institutions Scale-free Network Numerical models Electronic mail Mathematical model Equations Complex Network
Content Type	Text
Resource Type	Article

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