Paper Abstract and Keywords |
Presentation |
2013-06-22 15:47
Identifying Topics and Influential Users based on Information Propagation in Twitter Guanying Zhou (Waseda Univ.), Xuan Zhang (Recruit Technologies), Hayato Yamana (Waseda Univ.) DE2013-11 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, Twitter has become an efficient tool for product promotion. Thus, both how to measure the influence of individuals and to identify influential Twitter users have great research value. Most of previous researches about influential Twitter users identification have been concentrated on the following and/or friend relationships over user network without taking the factors of real information propagation into account. We believe influential users are those who spread information in the propagation and thus they are key figures in advertising for commercial companies. In this paper, we proposed a new method to identify influential Twitter users in some popular topics in Twitter based on retweet relationship. We use LDA to detect topics and then rank Twitter users in each topic. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Twitter / User / Topic / PageRank / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 105, DE2013-11, pp. 29-33, June 2013. |
Paper # |
DE2013-11 |
Date of Issue |
2013-06-15 (DE) |
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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DE2013-11 |
Conference Information |
Committee |
DE |
Conference Date |
2013-06-22 - 2013-06-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
ASTUDIO, Aoyama Gakuin Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Social Computing |
Paper Information |
Registration To |
DE |
Conference Code |
2013-06-DE |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Identifying Topics and Influential Users based on Information Propagation in Twitter |
Sub Title (in English) |
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Twitter |
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User |
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Topic |
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1st Author's Name |
Guanying Zhou |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Xuan Zhang |
2nd Author's Affiliation |
Recruit Technologies Co.,Ltd. (Recruit Technologies) |
3rd Author's Name |
Hayato Yamana |
3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-06-22 15:47:00 |
Presentation Time |
4 minutes |
Registration for |
DE |
Paper # |
DE2013-11 |
Volume (vol) |
vol.113 |
Number (no) |
no.105 |
Page |
pp.29-33 |
#Pages |
5 |
Date of Issue |
2013-06-15 (DE) |
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