Paper Abstract and Keywords |
Presentation |
2019-01-18 13:10
[Invited Talk]
Social Network Analysis Based on Random Matrix Theory Yusuke Sakumoto, Masaki Aida (Tokyo Metropolitan Univ.) CQ2018-87 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Spectral graph theory gives an algebraical approach to analyze the characteristics of a network by using the matrix that represents the network structure. In order to apply the spectral graph theory to the social network analysis, we must represent the social network structure with a matrix. However, it is hard to determine matrix elements exactly representing the actual social network structure. In this paper, we introduce the social network analysis based on random matrix theory. This analysis utilizes the universality that appears when matrix elements are randomly given. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Social Media / SNS / Spectral Graph Theory / Laplacian Matrix / Random Matrix Theory / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 395, CQ2018-87, pp. 65-70, Jan. 2019. |
Paper # |
CQ2018-87 |
Date of Issue |
2019-01-10 (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 |
CQ2018-87 |
Conference Information |
Committee |
CQ CBE |
Conference Date |
2019-01-17 - 2019-01-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Metropolitan Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. |
Paper Information |
Registration To |
CQ |
Conference Code |
2019-01-CQ-CBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Social Network Analysis Based on Random Matrix Theory |
Sub Title (in English) |
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Keyword(1) |
Social Media |
Keyword(2) |
SNS |
Keyword(3) |
Spectral Graph Theory |
Keyword(4) |
Laplacian Matrix |
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Random Matrix Theory |
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1st Author's Name |
Yusuke Sakumoto |
1st Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
2nd Author's Name |
Masaki Aida |
2nd Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-01-18 13:10:00 |
Presentation Time |
40 minutes |
Registration for |
CQ |
Paper # |
CQ2018-87 |
Volume (vol) |
vol.118 |
Number (no) |
no.395 |
Page |
pp.65-70 |
#Pages |
6 |
Date of Issue |
2019-01-10 (CQ) |
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