{"created":"2023-06-20T13:01:59.020536+00:00","id":208,"links":{},"metadata":{"_buckets":{"deposit":"fd2f7159-4fd6-4a59-969e-8a2f49d39071"},"_deposit":{"created_by":3,"id":"208","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"208"},"status":"published"},"_oai":{"id":"oai:osu.repo.nii.ac.jp:00000208","sets":["20:99:98"]},"author_link":["262","261","260"],"item_2_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2010-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"176","bibliographicPageStart":"165","bibliographicVolumeNumber":"11","bibliographic_titles":[{"bibliographic_title":"大阪産業大学経営論集"}]}]},"item_2_creator_6":{"attribute_name":"著者名(日)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井上, 寛康"}],"nameIdentifiers":[{}]}]},"item_2_creator_7":{"attribute_name":"著者名よみ","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"イノウエ, ヒロヤス"}],"nameIdentifiers":[{}]}]},"item_2_creator_8":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"INOUE, Hiroyasu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_description_1":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P(論文)","subitem_description_type":"Other"}]},"item_2_description_12":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"In social science, it is mostly assumed that there is a typical value for data. This is because normal distribution is supposed. However, it is hardly possible that all data in the natural world as well as human society obey normal distribution. Hence, if people take data for some phenomenon and suppose the data obeys normal distribution, that can lead to a wrong conclusion. In fact, people can have accessed many large scale empirical data in recent years and found those distributions do not obey normal distribution. Some of them obey power-law distribution whose nature has been recently well studied. This paper studied whether the distribution of joint patent applications for an organization obeys power-law distribution or not. The distribution is far from normal distribution and looks like power-law distribution. Hence, it was judged whether the distribution obeys power-law distribution using Clauset's method. The results showed the distribution in 7 and over obeys power-law distribution, and the exponent is 3.03.","subitem_description_type":"Other"}]},"item_2_source_id_13":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11394617","subitem_source_identifier_type":"NCID"}]},"item_2_text_2":{"attribute_name":"記事種別(日)","attribute_value_mlt":[{"subitem_text_value":"論文"}]},"item_2_text_3":{"attribute_name":"記事種別(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Article"}]},"item_2_text_9":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_value":"大阪産業大学経営学部流通学科"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2010-02-01"}],"displaytype":"detail","filename":"KJ00006133959.pdf","filesize":[{"value":"2.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://osu.repo.nii.ac.jp/record/208/files/KJ00006133959.pdf"},"version_id":"48fa9be1-66ab-4522-96ba-939e4fe4d5fb"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"べき分布","subitem_subject_scheme":"Other"},{"subitem_subject":"離散","subitem_subject_scheme":"Other"},{"subitem_subject":"コルモゴロフ-スミルノフ検定","subitem_subject_scheme":"Other"},{"subitem_subject":"最尤法","subitem_subject_scheme":"Other"},{"subitem_subject":"Power-Law Distributio","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Discrete","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Kolmogorov-Smirnov Test","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Maximum Likelihood","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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"大規模データに対するべき分布性の確認方法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模データに対するべき分布性の確認方法"},{"subitem_title":"Verifying Power-Law Distribution in Empirical Data","subitem_title_language":"en"}]},"item_type_id":"2","owner":"3","path":["98"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-02-01"},"publish_date":"2010-02-01","publish_status":"0","recid":"208","relation_version_is_last":true,"title":["大規模データに対するべき分布性の確認方法"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-06-20T13:36:30.565126+00:00"}