DocumentCode :
3288625
Title :
Self-similarity Formed of Complex Networks
Author :
Tao, Shaohua ; Zhang, Yong
Author_Institution :
Dept. of Comput. Sci. & Technol., Xu Chang Univ., Xuchang, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
155
Lastpage :
158
Abstract :
The self-similarity of complex networks has broad practical backgrounds. It is similar to the phenomena of social relationships: ldquothings of one kind come together, birds of a feather flock togetherrdquo. 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 edge of boxes to reveal the self-similarity of complex networks. Both theoretical analyses and simulation results are the evolution and characters more exactly for many complex networks of the real world.
Keywords :
complex networks; graph theory; statistical analysis; complex self-similarity network; social relationship phenomena; statistics; Analytical models; Birds; Circuits; Cities and towns; Complex networks; Computer science; Feathers; Graph theory; IP networks; Statistical analysis; Complex networks; Free-scale; Self-similarity; Self-similarity groups; Volume dimension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3614-9
Type :
conf
DOI :
10.1109/PACCS.2009.120
Filename :
5232310
Link To Document :
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