Paper Abstract and Keywords |
Presentation |
2008-01-31 14:15
The Correlation between Centralities of Node and Prediction Accuracy in Complex Network Systems Shinichi Ikeda, Tomoya Suzuki (Doshisha Univ.) NLP2007-132 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Some real systems compose networks where each element interacts with each other.We can obtain their behavior as time series data, and can use them for understanding mechanisms of systems and predicting future behavior.For example, in economic systems, each company corresponds to a node of a network and interacts with each company.Thus, stock markets show us complex movements. In the case of predicting such movements, it is possible that the difficulty of prediction and the optimum model of prediction are different according to properties of each node, such as large company or medium company.In this study, we prepared some coupled chaos systems with the WS model, which generates the small-world network, as numerical models to model real systems.Then, we predicted time series generated by coupled chaos systems by nonlinear prediction method. In addition, we examined the correlations betweenprediction accuracies of each node and centralities of each node:degree centrality, betweenness centrality and closeness centrality, and then we discuss the predictability of complex real system like economic systems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Small-world networks / Coupled chaos system / Centralities of node / Nonlinear prediction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 477, NLP2007-132, pp. 19-24, Jan. 2008. |
Paper # |
NLP2007-132 |
Date of Issue |
2008-01-24 (NLP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLP2007-132 |
Conference Information |
Committee |
NLP |
Conference Date |
2008-01-31 - 2008-02-01 |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2008-01-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The Correlation between Centralities of Node and Prediction Accuracy in Complex Network Systems |
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Small-world networks |
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Coupled chaos system |
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Centralities of node |
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Nonlinear prediction |
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1st Author's Name |
Shinichi Ikeda |
1st Author's Affiliation |
Doshisha University (Doshisha Univ.) |
2nd Author's Name |
Tomoya Suzuki |
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Doshisha University (Doshisha Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-01-31 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2007-132 |
Volume (vol) |
vol.107 |
Number (no) |
no.477 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2008-01-24 (NLP) |
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