{"updated":"2025-01-20T03:12:22.635228+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00184688","sets":["6164:6165:6244:9296"]},"path":["9296"],"owner":"11","recid":"184688","title":["送信された電子メールのサイズ頻度のメールヘッダの内容に基づく分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-11-30"},"_buckets":{"deposit":"6cc488c2-759b-4051-ab9e-5bb715b14bb1"},"_deposit":{"id":"184688","pid":{"type":"depid","value":"184688","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"送信された電子メールのサイズ頻度のメールヘッダの内容に基づく分析","author_link":["408588","408590","408591","408589"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"送信された電子メールのサイズ頻度のメールヘッダの内容に基づく分析"},{"subitem_title":"Analysis of frequency distribution in email size based on an email header","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2017-11-30","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"佐賀大学／熊本大学大学院"},{"subitem_text_value":"熊本大学"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Saga University / Graduate School of Science and Technology, Kumamoto University","subitem_text_language":"en"},{"subitem_text_value":"Kumamoto University","subitem_text_language":"en"}]},"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/184688/files/IPSJ-IOTS2017001.pdf","label":"IPSJ-IOTS2017001.pdf"},"date":[{"dateType":"Available","dateValue":"2019-11-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOTS2017001.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"42081e8b-638a-4eea-a472-d0c6b881f7b9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松原, 義継"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武藏, 泰雄"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoshitsugu, Matsubara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yasuo, Musashi","creatorNameLang":"en"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"電子メールサイズの頻度分布を説明するためのモデルを構築した．とある大学の電子メール送信サーバへリクエストされた電子メールのサイズの頻度分布図を 100 バイト単位で作成した．その頻度分布の大きな形からは，ベき則を読み取れる．電子メールヘッダの 1 つである “Content-Type” の内容に基づき，その頻度分布を 4 種類に分解した．この分解に用いた電子メールの送信リクエスト回数は 269,085 (3ヶ月分) である．分解された各頻度分布を説明するためのモデルを作成した．提案モデルでは，送信者は意識的もしくは無意識的に電子メール本文中の新規作成文の桁を正規分布に従い管理する．そのモデルからは概ね受け入れられるフィッティング結果を得られ，さらに実験によりベき則性を有することの結果も得られた．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a model to explain frequency distribution in email size. We made frequency distribution of email size in the system log of the staff email server at a university campus. Power-law properties are recognized in the distribution. We disaggregated the distribution to four subdistributions based on the “Content-Type” email header. The total number of disaggregated emails is 269,085. Then, we propose a model to explain each subdistribution that obeys a log-normal-like distribution. In this model, email senders - consciously or unconsciously - manage the size of new sentences, obeying a normal distribution. The fit of our model is acceptable, and the model demonstrates power-law properties for large email sizes.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"インターネットと運用技術シンポジウム論文集"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-11-30","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:52:00.562163+00:00","id":184688,"links":{}}