{"created":"2023-06-19T07:14:41.394946+00:00","id":1969,"links":{},"metadata":{"_buckets":{"deposit":"35073f82-5838-4a6f-b074-0fe75a4ed1dc"},"_deposit":{"created_by":27,"id":"1969","owners":[27],"pid":{"revision_id":0,"type":"depid","value":"1969"},"status":"published"},"_oai":{"id":"oai:repo.lib.tut.ac.jp:00001969","sets":["9"]},"author_link":["3722","2102","1945","3778","3724","3336","3779"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"11","bibliographicPageStart":"WII-M_1","bibliographicVolumeNumber":"32","bibliographic_titles":[{"bibliographic_title":"人工知能学会論文誌"},{"bibliographic_title":"Transactions of the Japanese Society for Artificial Intelligence","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"人工知能学会"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1527/tjsai.WII-M","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"J-Stage"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jstage.jst.go.jp/article/tjsai/32/1/32_WII-M/_article/-char/ja/","subitem_relation_type_select":"URI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 人工知能学会 2017"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1346-0714","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"廣中, 詩織"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉田, 光男"},{"creatorName":"Yoshida, Mitsuo","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"岡部, 正幸"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"梅村, 恭司"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"Hironaka, Shiori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Okabe, Masayuki","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"Umemura , Kyoji","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-26"}],"displaytype":"detail","filename":"j13460714-0032_WII-M_1.pdf","filesize":[{"value":"2.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"j13460714-0032_WII-M_1","url":"https://repo.lib.tut.ac.jp/record/1969/files/j13460714-0032_WII-M_1.pdf"},"version_id":"0a6f64c4-e15c-4ea2-a220-eec437c468e6"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"home location estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"social network","subitem_subject_scheme":"Other"},{"subitem_subject":"Twitter","subitem_subject_scheme":"Other"},{"subitem_subject":"home location estimation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"social network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Twitter","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"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","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"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"},{"subitem_title":"Analysis of Social Network Generation Methods for Home Location Estimation in Japan","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"27","path":["9"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-01-26"},"publish_date":"2017-01-26","publish_status":"0","recid":"1969","relation_version_is_last":true,"title":["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"],"weko_creator_id":"27","weko_shared_id":-1},"updated":"2023-06-19T07:38:06.588100+00:00"}