DocumentCode :
3492765
Title :
Self-similarity Research on Scale-free Networks
Author :
Tao, Shaohua ; Wang, Shang ; Jiang, Yonghong ; Longquan Zhu
Author_Institution :
Xu Chang Univ., Xuchang
fYear :
2008
fDate :
6-8 April 2008
Firstpage :
429
Lastpage :
432
Abstract :
Self-similarity of scale-free networks and volume-dimension are given based on the concept of fractal. The reason and the course of self-similarity networks formed and these three statistics characters of complex networks are discussed and analyzed in detail in this paper; besides, the concept of self-similarity groups is defined firstly. We propose that different local networks can be covered with different edges of box to reveal the self-similarity of special scale-free networks. Both theoretical analyses and simulation results are the evolution and characters more exactly for many scale-free networks of the real world.
Keywords :
graph theory; network theory (graphs); random graph theory; scale-free network; self-similarity network; Analytical models; Complex networks; Computer science; Feathers; Fractals; Graph theory; Humans; IP networks; Network topology; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
Type :
conf
DOI :
10.1109/ICNSC.2008.4525254
Filename :
4525254
Link To Document :
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