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| Paper Abstract and Keywords | ||
| Presentation | 2022-01-28 11:20 A Study on Identifying Influencer from Ego Network Using Graph Neural Network Akira Hashimoto, Sho Tsugawa (Tsukuba Univ), Keiichirou Tsukamoto, Shintaro Igari (KADOKAWA Connected)  CQ2021-91 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Identifying influencers on social media has been an important research topic. In this paper, we propose a method to predict whether a given social media user is an influencer or not from his/her ego network structure by using graph neural network. Although obtaining the data of a social network among social media users is typically difficult, most of the existing studies use the entire structure of the social network for identifying influencers. Contrary to the existing studies, we use ego networks of social media users for identifying influencers. Through experiments using Twitter datasets, we show that our proposed method can successfully identify influencers on Twitter from their ego networks. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Social Networks / Influencer Identification / Ego Network / Graph Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 357, CQ2021-91, pp. 82-87, Jan. 2022. | |
| Paper # | CQ2021-91 | |
| 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 | CQ2021-91 |
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| 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 Identifying Influencer from Ego Network Using Graph Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Social Networks |
| Keyword(2) | Influencer Identification |
| Keyword(3) | Ego Network |
| Keyword(4) | Graph Neural Network |
| Keyword(5) | |
| Keyword(6) | |
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| 1st Author's Name | Akira Hashimoto |
| 1st Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
| 2nd Author's Name | Sho Tsugawa |
| 2nd Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
| 3rd Author's Name | Keiichirou Tsukamoto |
| 3rd Author's Affiliation | KADOKAWA Connected Inc. (KADOKAWA Connected) |
| 4th Author's Name | Shintaro Igari |
| 4th Author's Affiliation | KADOKAWA Connected Inc. (KADOKAWA Connected) |
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| Speaker | Author-1 |
| Date Time | 2022-01-28 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2021-91 |
| Volume (vol) | vol.121 |
| Number (no) | no.357 |
| Page | pp.82-87 |
| #Pages | 6 |
| Date of Issue | 2022-01-20 (CQ) |
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