Presentation | 2013-03-15 Prediction of growth of complex networks Suguru YAGINUMA, Kaori KURODA, Yutaka SHIMADA, Kantaro FUJIWARA, Tohru IKEGUCHI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose a method to predict growth of a complex network. In our method, first, we transformed a complex network into a time series. Next, we predicted the time series by using a method of nonlinear time series prediction. Then, we reconstructed a complex network from the predicted time series. Finally, we evaluated growth of the predicted networks by comparing them with the real networks. Through numerical simulations, we show that we can predict growth of complex networks with high accuracy using the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | complex networks / growing networks / nonlinear prediction |
Paper # | NLP2012-163 |
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Committee | NLP |
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Conference Date | 2013/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Prediction of growth of complex networks |
Sub Title (in English) | |
Keyword(1) | complex networks |
Keyword(2) | growing networks |
Keyword(3) | nonlinear prediction |
1st Author's Name | Suguru YAGINUMA |
1st Author's Affiliation | Graduate School of Science and Engineering, Saitama University() |
2nd Author's Name | Kaori KURODA |
2nd Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
3rd Author's Name | Yutaka SHIMADA |
3rd Author's Affiliation | FIRST, Aihara Innovative Mathematical Modelling Project, JST:Institute of Industrial Science, the University of Tokyo |
4th Author's Name | Kantaro FUJIWARA |
4th Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
5th Author's Name | Tohru IKEGUCHI |
5th Author's Affiliation | Graduate School of Science and Engineering, Saitama University:Saitama University Brain Science Insititute |
Date | 2013-03-15 |
Paper # | NLP2012-163 |
Volume (vol) | vol.112 |
Number (no) | 487 |
Page | pp.pp.- |
#Pages | 6 |
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