Paper Abstract and Keywords |
Presentation |
2018-12-06 14:50
Characteristic analysis of users with strong influences on Twitter in content request prediction Noriko Kojima, Shun-ichi Kurino (Nihon Univ.), Toshio Takahashi (JEED) SITE2018-65 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to establish the method for making the request prediction of popular contents in future, we investigated the relationships among some people who have used popular contents. The study data were drived from Twitter, and these data included Tweet Information showing both URL for the YouTube videos and the video distribution date. The results show that many users who have influenced the popular contents have the verified accounts. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Contents request prediction / Twitter / Verified account / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 345, SITE2018-65, pp. 37-43, Dec. 2018. |
Paper # |
SITE2018-65 |
Date of Issue |
2018-11-29 (SITE) |
ISSN |
Print edition: ISSN 0913-5685 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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SITE2018-65 |
Conference Information |
Committee |
SITE |
Conference Date |
2018-12-06 - 2018-12-06 |
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(See Japanese page) |
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Paper Information |
Registration To |
SITE |
Conference Code |
2018-12-SITE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Characteristic analysis of users with strong influences on Twitter in content request prediction |
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Contents request prediction |
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Twitter |
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Verified account |
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1st Author's Name |
Noriko Kojima |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Shun-ichi Kurino |
2nd Author's Affiliation |
Nihon University (Nihon Univ.) |
3rd Author's Name |
Toshio Takahashi |
3rd Author's Affiliation |
Japan Organization for Employment of the Elderly, Persons with Disabilities and Job Seeders (JEED) |
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Speaker |
Author-1 |
Date Time |
2018-12-06 14:50:00 |
Presentation Time |
25 minutes |
Registration for |
SITE |
Paper # |
SITE2018-65 |
Volume (vol) |
vol.118 |
Number (no) |
no.345 |
Page |
pp.37-43 |
#Pages |
7 |
Date of Issue |
2018-11-29 (SITE) |
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