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Paper Abstract and Keywords
Presentation 2022-09-17 15:45
Methods for Dynamically Extracting the Human-Relationships on the Web based on Analysis of Closeness Centrality
Ayaka Ichikawa (Fukushima Univ.), Ryo Onuma (Tsuda Univ.), Hiroki Nakayama (Yamagata Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2022-20
Abstract (in Japanese) (See Japanese page) 
(in English) To successfully conduct complicated research and explorations using the Web, it is important to accurately understand human-relationships intervening in the subject such as object person. However, novices tend to fall into a one-sided understanding of the relationships. In this research, we aim to develop a novel mechanism that provides clues for acquiring a multifaceted understanding of human-relationships. In this paper, we describe methods for dynamically extracting the human-relationships on the Web based on analysis of closeness centrality. Moreover, we discuss the experiment results of the proposed methods and their features.
Keyword (in Japanese) (See Japanese page) 
(in English) Web Visualization / Support for Understanding Human-relationships / Social Networks / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 191, ET2022-20, pp. 58-63, Sept. 2022.
Paper # ET2022-20 
Date of Issue 2022-09-10 (ET) 
ISSN Online edition: ISSN 2432-6380
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 ET2022-20

Conference Information
Committee ET  
Conference Date 2022-09-17 - 2022-09-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima University and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Development and Deployment of Education and Learning Support System, etc. 
Paper Information
Registration To ET 
Conference Code 2022-09-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Dynamically Extracting the Human-Relationships on the Web based on Analysis of Closeness Centrality 
Sub Title (in English)  
Keyword(1) Web Visualization  
Keyword(2) Support for Understanding Human-relationships  
Keyword(3) Social Networks  
1st Author's Name Ayaka Ichikawa  
1st Author's Affiliation Fukushima University (Fukushima Univ.)
2nd Author's Name Ryo Onuma  
2nd Author's Affiliation Tsuda University (Tsuda Univ.)
3rd Author's Name Hiroki Nakayama  
3rd Author's Affiliation Yamagata University (Yamagata Univ.)
4th Author's Name Hiroaki Kaminaga  
4th Author's Affiliation Fukushima University (Fukushima Univ.)
5th Author's Name Youzou Miyadera  
5th Author's Affiliation Tokyo Gakugei University (Tokyo Gakugei Univ.)
6th Author's Name Shoichi Nakamura  
6th Author's Affiliation Fukushima University (Fukushima Univ.)
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Speaker Author-1 
Date Time 2022-09-17 15:45:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2022-20 
Volume (vol) vol.122 
Number (no) no.191 
Page pp.58-63 
Date of Issue 2022-09-10 (ET) 

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