Paper Abstract and Keywords |
Presentation |
2021-12-17 12:55
[Short Paper]
Study on the Separability of Aggregated Multilayer Networks Rong Wang, Yuki Wakisaka, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Many real networks consist of heterogeneous networks with different properties, and these heterogeneous networks interact with each other. Most existing studies of networks focus on single-layer networks. However, in recent years, analysis methods and algorithms for multilayer networks have begun to be studied. Even if a network is originally a multilayer network consisting of heterogeneous networks, it is commonly treated as a single-layer network when analyzing data. If it is possible to reconstruct the each layer network of the original multilayer network from the single-layer network in which the multilayer network is aggregated, it is expected that more detailed analysis of the multilayer network will be possible using conventional network analysis methods. In this paper, given a single-layer network obtained by aggregating multilayer networks, we investigate the extent to which the original multilayer network can be reconstructed from the single-layer network. Specifically, when a two-layer network is aggregated into a single-layer network, through experiments, we investigate how accurately the aggregated single-layer network can be separated into the original two-layer network from the partial information about the original network (the subnetworks of each layer of the original network). |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Graph Separation / Link Classification / Multilayer Networks / Heterogeneous Networks / Graph Neural Networks / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 300, IA2021-42, pp. 60-62, Dec. 2021. |
Paper # |
IA2021-42 |
Date of Issue |
2021-12-09 (IA) |
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) |
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IA2021-42 |
Conference Information |
Committee |
IN IA |
Conference Date |
2021-12-16 - 2021-12-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Higashi-Senda campus, Hiroshima Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
Paper Information |
Registration To |
IA |
Conference Code |
2021-12-IN-IA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on the Separability of Aggregated Multilayer Networks |
Sub Title (in English) |
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Keyword(1) |
Graph Separation |
Keyword(2) |
Link Classification |
Keyword(3) |
Multilayer Networks |
Keyword(4) |
Heterogeneous Networks |
Keyword(5) |
Graph Neural Networks |
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1st Author's Name |
Rong Wang |
1st Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
2nd Author's Name |
Yuki Wakisaka |
2nd Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
3rd Author's Name |
Ryotaro Matsuo |
3rd Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
4th Author's Name |
Hiroyuki Ohsaki |
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Kwansei Gakuin University (Kwansei Gakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-12-17 12:55:00 |
Presentation Time |
15 minutes |
Registration for |
IA |
Paper # |
IA2021-42 |
Volume (vol) |
vol.121 |
Number (no) |
no.300 |
Page |
pp.60-62 |
#Pages |
3 |
Date of Issue |
2021-12-09 (IA) |
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