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Paper Abstract and Keywords
Presentation 2024-01-26 11:10
[Invited Talk] Hypergraph analyses for understanding higher-order social interactions
Kazuki Nakajima (TMU) CQ2023-63
Abstract (in Japanese) (See Japanese page) 
(in English) A complex system is often represented as a network composed of nodes and pairwise interactions between the nodes. Various mathematical and computational methods have been developed to investigate the structure and dynamics of networks. Conventional modeling using dyadic networks (i.e., conventional networks, in which each edge connects a pair of nodes), however, may not accurately encode higher-order interactions among nodes (i.e., interactions among three or more nodes). In fact, higher-order interactions among nodes are not uncommon in real-world complex systems. Examples include group conversations in social contact networks, co-authoring in collaboration networks, joint purchase of products in co-purchasing networks, and many more. Such complex systems can be represented as hypergraphs composed of nodes and hyperedges, where a hyperedge represents interaction among two or more nodes. In recent years, there has been notable progress in the development of measurements, dynamical process models, and theories for hypergraphs. This advancement has enabled the uncovering of associations between higher-order interactions among nodes and structural properties, phenomena, and collective behaviors that cannot be adequately described by pairwise interactions alone. In this talk, I will review recent developments in analysis methods for hypergraphs, touching on our recent studies.
Keyword (in Japanese) (See Japanese page) 
(in English) Network science / hypergraphs / higher-order networks / higher-order interactions / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 368, CQ2023-63, pp. 62-62, Jan. 2024.
Paper # CQ2023-63 
Date of Issue 2024-01-18 (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 CQ2023-63

Conference Information
Committee CQ CBE  
Conference Date 2024-01-25 - 2024-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kurokawa-Onsen 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Computational Social Science, Media Quality, Communication Behaviour, etc. 
Paper Information
Registration To CQ 
Conference Code 2024-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hypergraph analyses for understanding higher-order social interactions 
Sub Title (in English)  
Keyword(1) Network science  
Keyword(2) hypergraphs  
Keyword(3) higher-order networks  
Keyword(4) higher-order interactions  
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1st Author's Name Kazuki Nakajima  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker Author-1 
Date Time 2024-01-26 11:10:00 
Presentation Time 40 minutes 
Registration for CQ 
Paper # CQ2023-63 
Volume (vol) vol.123 
Number (no) no.368 
Page p.62 
#Pages 1 
Date of Issue 2024-01-18 (CQ) 

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