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Paper Abstract and Keywords
Presentation 2014-07-17 10:20
Analysis of the brain functional networks connection structure and its application to the information network
Yoshinobu Shijo, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) IN2014-30
Abstract (in Japanese) (See Japanese page) 
(in English) The Internet is one of the largest artificial network in the world, and it is desired to make large-scale complex Internet into higher quality. Clues to the high quality can be found in human brain function networks (BFNs) which show various functions at high level. There are many researches to analyze brain function network topology with graph theory. Those show BFNs have fractality in topology at voxel level, on the other hand the Internet does not have. Therefore, the Internet can be high quality by incorporating the fractality of BFNs. For that purposes, however, we must analyze the connection structure and its advantages of BFNs. This report reveals the connection structure that leads fractality and the advantages of that structure. Result of analysis shows that BFNs have fractality in functional modules connectivity and many superior paths compared to comparison topology.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain Functional Networks / Fractal / Internet / Connection Structure / Hierarchical Module Structure / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 139, IN2014-30, pp. 1-6, July 2014.
Paper # IN2014-30 
Date of Issue 2014-07-10 (IN) 
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)
Download PDF IN2014-30

Conference Information
Committee IN NV  
Conference Date 2014-07-17 - 2014-07-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cloud Networking, SDN, OpenFlow, Virtual Private Network (VPN), Overlay Network/P2P, Network configuration, etc. 
Paper Information
Registration To IN 
Conference Code 2014-07-IN-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the brain functional networks connection structure and its application to the information network 
Sub Title (in English)  
Keyword(1) Brain Functional Networks  
Keyword(2) Fractal  
Keyword(3) Internet  
Keyword(4) Connection Structure  
Keyword(5) Hierarchical Module Structure  
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Keyword(7)  
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1st Author's Name Yoshinobu Shijo  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shin'ichi Arakawa  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2014-07-17 10:20:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2014-30 
Volume (vol) vol.114 
Number (no) no.139 
Page pp.1-6 
#Pages 6 
Date of Issue 2014-07-10 (IN) 

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