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Paper Abstract and Keywords
Presentation 2023-03-03 14:30
Top-k Personalized PageRank Computation without Re-indexing for Graph Updates
Tsuyoshi Yamashita, Naoki Matsumoto, Kunitake Kaneko (Keio Univ.) IN2022-117
Abstract (in Japanese) (See Japanese page) 
(in English) Top-k Personalized PageRank (PPR) is graph analysis method to determine k important nodes with respect to a source node. To realize fast Top-k PPR computations, indexing for each node and using them during computations is effective. However, to ensure accuracy on dynamic graphs, re-indexing at part of nodes is required for every graph update, and the computation is costly. In this research, we proposed a method which don't ensure accuracy, but achieves sufficient accuracy for practical use. Specifically, focusing on the fact that indexes that are more easily referred to during computations are less likely to change by graph updates, we proposed a method that completely eliminates re-indexing for graph updates. Evaluation of the proposed method with real-world graph dataset shows that accuracy of Top-128 PPR decreases by only up to 0.1% comparing to existing accuracy ensuring method, even when the number of edges double.
Keyword (in Japanese) (See Japanese page) 
(in English) Dynamic Graphs / Personalized PageRank / Index / Random Walks / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-117, pp. 305-310, March 2023.
Paper # IN2022-117 
Date of Issue 2023-02-23 (IN) 
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 IN2022-117

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Top-k Personalized PageRank Computation without Re-indexing for Graph Updates 
Sub Title (in English)  
Keyword(1) Dynamic Graphs  
Keyword(2) Personalized PageRank  
Keyword(3) Index  
Keyword(4) Random Walks  
Keyword(5)  
Keyword(6)  
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1st Author's Name Tsuyoshi Yamashita  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Naoki Matsumoto  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Kunitake Kaneko  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2023-03-03 14:30:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-117 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.305-310 
#Pages 6 
Date of Issue 2023-02-23 (IN) 

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