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Paper Abstract and Keywords
Presentation 2023-09-01 09:50
[Invited Lecture] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou, Shintaro Igari (KDX) CQ2023-35
Abstract (in Japanese) (See Japanese page) 
(in English) Identifying influencers on social media is an important research topic in the field of network science. This paper evaluates how accurately we can predict influencers on social media solely based on the ego network structures of users. We investigate the accuracy of various models that identify influencers from ego network structures in three different types of datasets and three different influencer identification tasks. The results indicate the effectiveness of machine learning-based influencer identification methods using LightGBM and graph neural networks over non-machine-learning-based baseline methods.
Keyword (in Japanese) (See Japanese page) 
(in English) social network / influencer / ego network / graph neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 174, CQ2023-35, pp. 54-58, Aug. 2023.
Paper # CQ2023-35 
Date of Issue 2023-08-24 (CQ) 
ISSN 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 CQ2023-35

Conference Information
Committee CQ MIKA  
Conference Date 2023-08-31 - 2023-09-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenjin-Misaki Sports Park 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. 
Paper Information
Registration To CQ 
Conference Code 2023-08-CQ-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures 
Sub Title (in English)  
Keyword(1) social network  
Keyword(2) influencer  
Keyword(3) ego network  
Keyword(4) graph neural network  
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1st Author's Name Akira Hashimoto  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Sho Tsugawa  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
3rd Author's Name Keiichirou  
3rd Author's Affiliation KADOKAWA Connected Inc. (KDX)
4th Author's Name Shintaro Igari  
4th Author's Affiliation KADOKAWA Connected Inc. (KDX)
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Speaker Author-1 
Date Time 2023-09-01 09:50:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2023-35 
Volume (vol) vol.123 
Number (no) no.174 
Page pp.54-58 
#Pages 5 
Date of Issue 2023-08-24 (CQ) 

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