{"updated":"2025-01-20T06:46:35.025013+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00100827","sets":["581:7397:7561"]},"path":["7561"],"owner":"11","recid":"100827","title":["Community Discovery for Knowledge Collaborations in Collective intelligence Systems"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-04-15"},"_buckets":{"deposit":"4a3d654a-772e-4036-adac-aed23f0090d4"},"_deposit":{"id":"100827","pid":{"type":"depid","value":"100827","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Community Discovery for Knowledge Collaborations in Collective intelligence Systems","author_link":["358848","358847","358850","358845","358849","358846","358851","358852"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Community Discovery for Knowledge Collaborations in Collective intelligence Systems"},{"subitem_title":"Community Discovery for Knowledge Collaborations in Collective intelligence Systems","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：Multiagent-based Societal Systems] community discovery, knowledge collaborative community, multi-domain problem solving, collective intelligence","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2014-04-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Auckland University of Technology"},{"subitem_text_value":"Auckland University of Technology"},{"subitem_text_value":"Wollongong University"},{"subitem_text_value":"Wollongong University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Auckland University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Auckland University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Wollongong University","subitem_text_language":"en"},{"subitem_text_value":"Wollongong University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"publish_status":"0","weko_shared_id":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/100827/files/IPSJ-JNL5504010.pdf","label":"IPSJ-JNL5504010"},"date":[{"dateType":"Available","dateValue":"2016-04-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5504010.pdf","filesize":[{"value":"921.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2061097b-1f19-4b6c-a122-0a3668f008e9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jing, Jiang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Quan, Bai"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Minjie, Zhang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shaojie, Yuan"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jing, Jiang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Quan, Bai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Minjie, Zhang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shaojie, Yuan","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Knowledge collaborative communities play an important role in collective intelligence systems. To discover a knowledge collaborative community, we need to consider not only the structure of a network but also the performance of knowledge collaboration among members within the community. Traditional community discovery approaches are not suitable to discover knowledge collaborative communities since most of them focus too much on the network topologies, and ignore some other important factors. In this paper, we propose two community discovery approaches, which can be used in different sizes of networks, and take more knowledge collaboration factors into account. Compared with some other existing approaches, the proposed approach can perform better in forming knowledge collaborative communities for multi-domain problem solving.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.243\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Knowledge collaborative communities play an important role in collective intelligence systems. To discover a knowledge collaborative community, we need to consider not only the structure of a network but also the performance of knowledge collaboration among members within the community. Traditional community discovery approaches are not suitable to discover knowledge collaborative communities since most of them focus too much on the network topologies, and ignore some other important factors. In this paper, we propose two community discovery approaches, which can be used in different sizes of networks, and take more knowledge collaboration factors into account. Compared with some other existing approaches, the proposed approach can perform better in forming knowledge collaborative communities for multi-domain problem solving.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.243\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2014-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"55"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":100827,"created":"2025-01-18T23:46:32.115806+00:00"}