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Paper Abstract and Keywords
Presentation 2019-05-30 14:00
Follow-oriented analysis of Twitter users using degree distribution of adjacent nodes
Yusuke Azuma, Chisa Takano, Kaori Maeda (Hiroshima City Univ.) CQ2019-16
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, SNS has become widespread due to the development of network technology and the spread of communication devices. In particular, Twitter has a strong influence on information dissemination and diffusion. Therefore, in this research, the actual number data of Twitter is used to investigate the follower number distribution, and comparison with the BA model of the conventional complex network generation model, and the influencer (information originator with a large number of followers) leading the service Analyze and compare the structure of partial networks and clarify the characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) SNS / Twitter / BA model / Influencer / Intention characteristic / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 61, CQ2019-16, pp. 27-32, May 2019.
Paper # CQ2019-16 
Date of Issue 2019-05-23 (CQ) 
ISSN Print edition: ISSN 0913-5685  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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2019-16

Conference Information
Committee CQ  
Conference Date 2019-05-30 - 2019-05-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Efficiency of Wireless Communications, Wireless Communication Quality, MIMO/Diversity/Multiplexing Techniques, Radio Resource Management, Cross-Layer Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2019-05-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Follow-oriented analysis of Twitter users using degree distribution of adjacent nodes 
Sub Title (in English)  
Keyword(1) SNS  
Keyword(2) Twitter  
Keyword(3) BA model  
Keyword(4) Influencer  
Keyword(5) Intention characteristic  
1st Author's Name Yusuke Azuma  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Chisa Takano  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Kaori Maeda  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Date Time 2019-05-30 14:00:00 
Presentation Time 15 
Registration for CQ 
Paper # IEICE-CQ2019-16 
Volume (vol) IEICE-119 
Number (no) no.61 
Page pp.27-32 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2019-05-23 

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