DocumentCode
2399117
Title
Community Structure Discovery algorithm on GPU with CUDA
Author
Li, Peng
Author_Institution
Dept. of Inf., Linyi Normal Univ., Linyi, China
fYear
2010
fDate
26-28 Oct. 2010
Firstpage
1136
Lastpage
1139
Abstract
The automatic search and community discovery in large and complex network has important practical application. It is difficult to be tradeoff in computing speed and clustering exactness. To improve clustering exactness have to decrease the time complexity. In this paper a novel single instruction Multiple Data architecture processors based on Newman algorithm is proposed. The simulation results show that the method works well.
Keywords
computational complexity; computer graphic equipment; coprocessors; CUDA; GPU; Newman algorithm; clustering exactness; community structure discovery algorithm; complex network; data architecture processors; time complexity; Algorithm design and analysis; Artificial neural networks; Communities; Graphics processing unit; Community discovery; Community structure; Complex Network; GPGPU;
fLanguage
English
Publisher
ieee
Conference_Titel
Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6769-3
Type
conf
DOI
10.1109/ICBNMT.2010.5705267
Filename
5705267
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