{"id":105562,"created":"2025-01-18T23:49:24.466640+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00105562","sets":["6504:7684:7692"]},"path":["7692"],"owner":"6748","recid":"105562","title":["ハッシュタグの種類とツイートダイナミクスの関係性"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-03-11"},"_buckets":{"deposit":"7c4a3912-1005-47ae-bbed-71cd736f50a7"},"_deposit":{"id":"105562","pid":{"type":"depid","value":"105562","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"ハッシュタグの種類とツイートダイナミクスの関係性","author_link":["8165","8168","8166","8167"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ハッシュタグの種類とツイートダイナミクスの関係性"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2014-03-11","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/105562/files/IPSJ-Z76-1V-6.pdf"},"date":[{"dateType":"Available","dateValue":"2014-10-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z76-1V-6.pdf","filesize":[{"value":"370.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"867c189e-e9b4-4654-b05d-fd066739ec09","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"武市融紀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"笹原和俊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木麗璽"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"有田隆也"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ソーシャルメディア上のユーザーの集合的な振る舞いを分析し，社会学的知見を得ようという研究が盛んである．本研究ではTwitterのハッシュタグに注目して，継続して興味を惹きつけられる事象をTwitterを通して観測することで，特別な状態下における投稿内容やユーザー間の相互作用の形態を調査した．具体的には，野球とF1に関するハッシュタグの付いたツイートを収集し，戦況と対比させながら，ツイートの内容と数の変化，被リツイートとメンション方向への有向エッジを持つユーザーネットワークの時間変化を調査した．各ハッシュタグについて，ユーザーの相互作用が戦況を即座に反映する傾向にあるものとそうでないものが見られた．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"146","bibliographic_titles":[{"bibliographic_title":"第76回全国大会講演論文集"}],"bibliographicPageStart":"145","bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-21T09:46:14.255153+00:00","links":{}}