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| Presentation | 2018-01-18 10:45 On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks Shumpei Takemura, Sho Tsugawa (UoT)  CQ2017-88 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Identifying influential nodes in social networks is one of the important research topics in the field of network science. Although various methods have been proposed for identifying influential nodes, studies for the comprehensive evaluation of the various methods have been still limited. In this paper, we evaluate the effectiveness of methods for identifying influential nodes by investigating the actual influence of the identified nodes. Actual influence is obtained from the history of information diffusion on social networks. Our results show that the methods based on Collective Influence (CI), degree centrality, and k-core index are relatively effective. Moreover, we analyze the difference among influential nodes identified with the methods by analyzing the correlations of the node rankings obtained by them. Consequently, we show that the correlations between the node ranking based on CI and the rankings based on other methods are low, which indicates that influence estimation based on CI is greatly different from estimation based on other methods. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Centrality measures / Influence maximization algorithm / Social network / Complex networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 386, CQ2017-88, pp. 17-22, Jan. 2018. | |
| Paper # | CQ2017-88 | |
| Date of Issue | 2018-01-11 (CQ) | |
| 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) | |
| Download PDF | CQ2017-88 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2018-01-18 - 2018-01-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NII |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2018-01-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks |
| Sub Title (in English) | |
| Keyword(1) | Centrality measures |
| Keyword(2) | Influence maximization algorithm |
| Keyword(3) | Social network |
| Keyword(4) | Complex networks |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Shumpei Takemura |
| 1st Author's Affiliation | University of Tsukuba (UoT) |
| 2nd Author's Name | Sho Tsugawa |
| 2nd Author's Affiliation | University of Tsukuba (UoT) |
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| Speaker | Author-1 |
| Date Time | 2018-01-18 10:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2017-88 |
| Volume (vol) | vol.117 |
| Number (no) | no.386 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2018-01-11 (CQ) |
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