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  1. 学術雑誌論文

日本における居住地推定に利用するためのフォロー関係の調査

https://repo.lib.tut.ac.jp/records/1969
https://repo.lib.tut.ac.jp/records/1969
2e039886-def9-46ef-96ad-ed5c5056f905
名前 / ファイル ライセンス アクション
j13460714-0032_WII-M_1.pdf j13460714-0032_WII-M_1 (2.5 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-01-26
タイトル
タイトル 日本における居住地推定に利用するためのフォロー関係の調査
タイトル
言語 en
タイトル Analysis of Social Network Generation Methods for Home Location Estimation in Japan
言語
言語 jpn
資源タイプ
資源タイプ journal article
著者 廣中, 詩織

× 廣中, 詩織

WEKO 3778

廣中, 詩織

Search repository
吉田, 光男

× 吉田, 光男

WEKO 3336
e-Rad 60734978

吉田, 光男

en Yoshida, Mitsuo

Search repository
岡部, 正幸

× 岡部, 正幸

WEKO 3722
NRID 1000050362330
e-Rad 50362330

岡部, 正幸

Search repository
梅村, 恭司

× 梅村, 恭司

WEKO 1945
NRID 1000080273324
e-Rad 80273324

梅村, 恭司

Search repository
Hironaka, Shiori

× Hironaka, Shiori

WEKO 3779

en Hironaka, Shiori

Search repository
Okabe, Masayuki

× Okabe, Masayuki

WEKO 3724
NRID 1000050362330
e-Rad 50362330

en Okabe, Masayuki

Search repository
Umemura , Kyoji

× Umemura , Kyoji

WEKO 2102
NRID 1000080273324
e-Rad 80273324

en Umemura , Kyoji

Search repository
抄録
内容記述タイプ Abstract
内容記述 The home locations of Twitter users can be estimated using a social network, which is generated by various relationships between users. There are many network-based location estimation methods with user relationships. However, the estimation accuracy of various methods and relationships is unclear. In this study, we estimate the users’home locations using four network-based location estimation methods on four types of social networks in Japan. We have obtained two results. (1) In the location estimation methods, the method that selects the most frequent location among the friends of the user shows the highest precision and recall. (2) In the four types of social networks, the relationship of follower has the highest precision and recall.
書誌情報 人工知能学会論文誌
en : Transactions of the Japanese Society for Artificial Intelligence

巻 32, 号 1, p. WII-M_1-11, 発行日 2017
出版者
出版者 人工知能学会
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-0714
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1527/tjsai.WII-M
権利
権利情報 Copyright © 人工知能学会 2017
関連サイト
識別子タイプ URI
関連識別子 https://www.jstage.jst.go.jp/article/tjsai/32/1/32_WII-M/_article/-char/ja/
関連名称 J-Stage
著者版フラグ
出版タイプ VoR
キーワード
主題 home location estimation
キーワード
主題 social network
キーワード
主題 Twitter
キーワード
主題 home location estimation
キーワード
主題 social network
キーワード
主題 Twitter
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