NDLI: Power-Law Topology Models with Given Spatial Distribution

Content Provider	IEEE Xplore Digital Library
Author	Yuchun Guo Changjia Chen
Copyright Year	2006
Description	Author affiliation: Sch. of Electr. & Inf. Eng., Beijing Jiaotong Univ. (Yuchun Guo; Changjia Chen)
Abstract	Many real networks have power-law topological properties as well as some spatial properties. This paper presents a set of models for such topologies. A coverage area (CA) based model (CAM) is proposed with CA of a node to associate the spatial and topological properties. A heuristic gravity algorithm (ERA) is proposed in the sense that a node with heavier mass has larger CA and with gravity to associate both properties. A probabilistic variant of ERA, PERA, is proposed to model the dynamic evolution mechanism of power law network with specific spatial properties. Analysis and simulation show that these models can generate power-law graphs with given spatial distribution and can be realized easily with good scalability
Starting Page	1
Ending Page	5
File Size	5950705
Page Count	5
File Format	PDF
ISBN	1424404622
DOI	10.1109/CHINACOM.2006.344793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CADCAM Network topology Computer aided manufacturing Heuristic algorithms Fractals Mechanical factors Internet Power generation Gravity Power engineering and energy
Content Type	Text
Resource Type	Article

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Power-Law Topology Models with Given Spatial Distribution