{"created":"2023-06-19T10:30:10.576644+00:00","id":10374,"links":{},"metadata":{"_buckets":{"deposit":"3d8da322-9d95-489f-acad-9ce760980e55"},"_deposit":{"created_by":18,"id":"10374","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"10374"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00010374","sets":["216:352","46"]},"author_link":["58227","39157","58228","58229","58230","58226"],"item_79_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"1402","bibliographicPageStart":"1385","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"PEER-TO-PEER NETWORKING AND APPLICATIONS","bibliographic_titleLang":"en"}]}]},"item_79_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_79_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Graph-based approaches for fake account detection is one of the important means to fight against fake accounts' attacks on social networks. With the growth of the scale of social networks, more and more researchers begin to use the graph computing framework to boost their detection algorithms. We make detailed analyses of social networks' graph data and state-of-the-art graph computing frameworks, and find that some techniques of the current graph computing systems are overgeneralized and suboptimal, which means they only focus on how to design a graph processing framework on general graphs but miss the optimization of social networks graphs. So, in this paper we propose QuickSquad, a graph computing system on a single server which is specific to the optimization of social networks graph structures. QuickSquad uses the method of \"divide and rule\" instead of overgeneralization. First, we divide the graph structure data into the heavy set and the light set according to the out-degree of vertices. Then, we 1) store them with different formats, 2) process them with edge-based updating and vertex-based updating appropriately in a two-phase processing model, 3) apply two selective scheduler strategies of different level, i.e. vertex-level and file-level, and 4) provide four cache priorities when the memory is not enough to cache all data. Finally, we implement two detection methods, dSybilRank and dCOLOR, on our system, and the experiments demonstrate that our system can increase the performance up to 5.91X (from 1.14X) compared with the performance of the current graph computing systems, like GridGraph.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_79_link_17":{"attribute_name":"出版者版へのリンク","attribute_value_mlt":[{"subitem_link_text":"10.1007/s12083-018-0697-2","subitem_link_url":"https://doi.org/10.1007/s12083-018-0697-2"}]},"item_79_link_5":{"attribute_name":"室蘭工業大学研究者データベースへのリンク","attribute_value_mlt":[{"subitem_link_text":"董 冕雄（DONG Mianxiong）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html"}]},"item_79_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"SPRINGER","subitem_publisher_language":"en"}]},"item_79_relation_18":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1007/s12083-018-0697-2","subitem_relation_type_select":"DOI"}}]},"item_79_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"This is a post-peer-review, pre-copyedit version of an article published in QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks. The final authenticated version is available online at: http://dx.doi.org/10.1007/s12083-018-0697-2","subitem_rights_language":"en"}]},"item_79_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1936-6442","subitem_source_identifier_type":"PISSN"}]},"item_79_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_79_version_type_21":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"JIANG, Xinyang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"LI, Qiang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MA, Zhen","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"DONG,  Mianxiong","creatorNameLang":"en"},{"creatorName":"トウ, メンユウ","creatorNameLang":"ja-Kana"},{"creatorName":"董, 冕雄","creatorNameLang":"ja"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"WU, Jun","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"GUO, Dong","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":"2020-11-18"}],"displaytype":"detail","filename":"PPNA_2019_12_1385_1402.pdf","filesize":[{"value":"2.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"PPNA_2019_12_1385_1402","objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/10374/files/PPNA_2019_12_1385_1402.pdf"},"version_id":"858b57e4-b50f-4bcd-9b77-7a59424daf83"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Security of online social networks","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Fake accounts","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Sybil detection","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Graph computing","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Distributed system","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":"QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks","subitem_title_language":"en"}]},"item_type_id":"79","owner":"18","path":["46","352"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-18"},"publish_date":"2020-11-18","publish_status":"0","recid":"10374","relation_version_is_last":true,"title":["QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2023-10-24T01:52:37.483761+00:00"}