Paper Abstract and Keywords |
Presentation |
2017-03-03 11:20
Spatial pattern analysis using chromatic network motif Jinattaporn Khumsri, Akihiro Fujihara (FUT) IN2016-144 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
There are two famous supermarkets in Thailand: Big C and Lotus. They are the highest competitive supermarkets whose hold the most market share by lots of promotions and also gather all convenience services including banking, restaurant, and others. In recent years, they gradually expand their stores and they take a similar strategy to determine where to locate a store. It is important for them to consider store allocation to obtain new customers efficiently. To consider this, we gather geographical locations of these supermarkets from Twitter using Twitter API. We gathered tweets having these supermarket names and geotags for seven months. To extract hidden location patterns from gathered data, we introduce chromatic network motif which is a directed subgraph whose edges are linked to every pair of the shortest-distance other colored node. We investigate every possible configuration of chromatic network motif when they have a small number of nodes and find that the configuration increases exponentially. We also visualize the motifs generated from gathered data on the map of Thailand and count the frequency of observed location motifs. As a result, we find that even if allowed motif configurations increase exponentially as the number of nodes grows, a limited number of motifs can be observed. Using chromatic network motif, we successfully find an evidence of biased store allocation in reality. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Data Science / Network Motif / Geotagged Tweets / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 485, IN2016-144, pp. 281-286, March 2017. |
Paper # |
IN2016-144 |
Date of Issue |
2017-02-23 (IN) |
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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IN2016-144 |
Conference Information |
Committee |
NS IN |
Conference Date |
2017-03-02 - 2017-03-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
OKINAWA ZANPAMISAKI ROYAL HOTEL |
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(See Japanese page) |
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General |
Paper Information |
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IN |
Conference Code |
2017-03-NS-IN |
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Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Spatial pattern analysis using chromatic network motif |
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Data Science |
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Network Motif |
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Geotagged Tweets |
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1st Author's Name |
Jinattaporn Khumsri |
1st Author's Affiliation |
Fukui University of Technology (FUT) |
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Akihiro Fujihara |
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Fukui University of Technology (FUT) |
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Speaker |
Author-1 |
Date Time |
2017-03-03 11:20:00 |
Presentation Time |
20 minutes |
Registration for |
IN |
Paper # |
IN2016-144 |
Volume (vol) |
vol.116 |
Number (no) |
no.485 |
Page |
pp.281-286 |
#Pages |
6 |
Date of Issue |
2017-02-23 (IN) |
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