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Paper Abstract and Keywords
Presentation 2022-01-28 11:45
A Study on Parameter Tuning of a Rendezvous Search Utilizing Random Walks
Fumiya Toyoda, Yusuke Sakumoto, Hiroyuki Ohsaki (Kwansei Gakuin Univ) CQ2021-92
Abstract (in Japanese) (See Japanese page) 
(in English) Many studies proposed a rendezvous search that multiple searchers existing on different nodes on a network try to find other searchers. Especially, a blind rendezvous search using only adjacent information among nodes on a network, is expected to use for scale-free networks such as a communication network and a social network. We have proposed a random walk-based rendezvous search (RRS) that utilizes agents performing random walks. According to the experiment results in the previous work, the parameter $alpha$ of RRS should be tuned for maximum performance. In this paper, we first discuss a method for the parameter tuning of RRS, and then investigate the effectivity of the method for the parameter tuning through the experiment using network data of the actual SNSs (Facebook, Twitter, and Reddit).
Keyword (in Japanese) (See Japanese page) 
(in English) Network Search / Blind Search / Rendezvous Algorithm / Random Walk / Scale-Free Network / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 357, CQ2021-92, pp. 88-93, Jan. 2022.
Paper # CQ2021-92 
Date of Issue 2022-01-20 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2021-92

Conference Information
Committee CQ CBE  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanazawa(Ishikawa Pref.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. 
Paper Information
Registration To CQ 
Conference Code 2022-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Parameter Tuning of a Rendezvous Search Utilizing Random Walks 
Sub Title (in English)  
Keyword(1) Network Search  
Keyword(2) Blind Search  
Keyword(3) Rendezvous Algorithm  
Keyword(4) Random Walk  
Keyword(5) Scale-Free Network  
1st Author's Name Fumiya Toyoda  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ)
2nd Author's Name Yusuke Sakumoto  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ)
3rd Author's Name Hiroyuki Ohsaki  
3rd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ)
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Speaker Author-1 
Date Time 2022-01-28 11:45:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2021-92 
Volume (vol) vol.121 
Number (no) no.357 
Page pp.88-93 
Date of Issue 2022-01-20 (CQ) 

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