| Paper Abstract and Keywords |
| Presentation |
2022-01-28 14:40
A Study on Finding Intermediate Spreaders in Social Networks Sho Tsugawa (Univ. of Tsukuba), Kohei Watabe (Nagaoka Univ. of Technology) CQ2021-94 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Identifying influencers in a given social network has been an important research problem. In the literature, several methods for identifying influential source spreaders who can spread their own messages to many other nodes have been proposed. In contrast, the identification of influential intermediate spreaders who can spread other nodes' messages to many nodes has not been fully explored. This paper explores ways to identify influential intermediate spreaders from a given social network. By using three social media datasets, we investigate the characteristics of influential intermediate spreaders, and investigate the prediction
accuracy for identifying intermediate spreaders from centrality and node embedding features. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
social network / influence / centrality / node embedding / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 357, CQ2021-94, pp. 100-105, Jan. 2022. |
| Paper # |
CQ2021-94 |
| Date of Issue |
2022-01-20 (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 |
CQ2021-94 |
| 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 Finding Intermediate Spreaders in Social Networks |
| Sub Title (in English) |
|
| Keyword(1) |
social network |
| Keyword(2) |
influence |
| Keyword(3) |
centrality |
| Keyword(4) |
node embedding |
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| 1st Author's Name |
Sho Tsugawa |
| 1st Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name |
Kohei Watabe |
| 2nd Author's Affiliation |
Nagaoka University of Technology (Nagaoka Univ. of Technology) |
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| Speaker |
Author-1 |
| Date Time |
2022-01-28 14:40:00 |
| Presentation Time |
25 minutes |
| Registration for |
CQ |
| Paper # |
CQ2021-94 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.357 |
| Page |
pp.100-105 |
| #Pages |
6 |
| Date of Issue |
2022-01-20 (CQ) |