DocumentCode
493624
Title
On Attractive Factor of BA Network Evolving Model
Author
Tao, Shaohua ; Zhang, Xiangqun ; Yang, Chun ; Chen, Hongcai
Author_Institution
Dept. of Comput. Sci. & Technol., Xu Chang Univ., Xu Chang
Volume
2
fYear
2009
fDate
7-8 March 2009
Firstpage
156
Lastpage
159
Abstract
The BA model and BA extend model described the number of nodes linked, but they are believe the nodes have the highest number of links if the timeframe is enough long. However, the real system not only depend on timeframe, hence, we proposed a new network evolving model which has attractive factor, the number of links of nodes have relate with attractive factor. If new nodes have enough attractive factors, it can acquire the highest number of links in short time, so it can beyond the old node. The evolving progress of model is simulated by computer, the degree distribution, clustering, average path of BA model and attractive factor model are gotten in the same network scale. The simulation results indicate the degree distribution of nodes under attractive factor present power-law distribution, which has similar with BA model. The correctness of theory is verified by simulation analyses.
Keywords
network theory (graphs); BA network evolving model; attractive factors; computer simulation; power-law distribution; real system; Analytical models; Cities and towns; Computational modeling; Computer networks; Computer science; Computer science education; Computer simulation; Distributed computing; Educational technology; Power system modeling; Attractive factors; Average path lengths; BA model; Clustering coefficients; Degree distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.296
Filename
4959010
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