Paper Abstract and Keywords |
Presentation |
2016-07-15 13:30
Subjective Evaluation of Distance Metric in Social Networks Naoki Ito, Ryoichi Shinkuma (Kyoto Univ.), Kazuhiro Yamaguchi (KDL) LOIS2016-12 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In social networking services (SNSs), social relationships among users, which are structured as electronic
data in the services, can be perceived by the users. On the other hand, people also perceive social relationships in
the real world, which we forecast will be also structured as electronic data as the Internet-of-Things (IoT) devices
will be developed. A question here is how different a social network structure in the real world is from the one
perceived by people. There has been a variety of metrics measured from a social network structure like the central-
ity, the similarity measured from common neighbor nodes, the clustering characteristics and so on. Although these
metrics have been used in in
uence estimation, new-friend prediction, and community extraction few researches
have tackled how people perceive these metrics in the real world. Therefore, this report focuses on a metric named
`unexpected relationship between two people', which means the two people have a week or no direct relation, while
they have high similarity. Then, our experiment results show how different the objective metric is from the one
people perceive subjectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
social networks / network analysis / social relationship / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 138, LOIS2016-12, pp. 1-4, July 2016. |
Paper # |
LOIS2016-12 |
Date of Issue |
2016-07-08 (LOIS) |
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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LOIS2016-12 |
Conference Information |
Committee |
LOIS IPSJ-DC |
Conference Date |
2016-07-15 - 2016-07-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hiroshima RCC Culture Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
LOIS |
Conference Code |
2016-07-LOIS-DC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Subjective Evaluation of Distance Metric in Social Networks |
Sub Title (in English) |
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Keyword(1) |
social networks |
Keyword(2) |
network analysis |
Keyword(3) |
social relationship |
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1st Author's Name |
Naoki Ito |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Ryoichi Shinkuma |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Kazuhiro Yamaguchi |
3rd Author's Affiliation |
Kobe Digital Labo Inc. (KDL) |
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Speaker |
Author-1 |
Date Time |
2016-07-15 13:30:00 |
Presentation Time |
30 minutes |
Registration for |
LOIS |
Paper # |
LOIS2016-12 |
Volume (vol) |
vol.116 |
Number (no) |
no.138 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2016-07-08 (LOIS) |
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