{"id":"https://openalex.org/W4391893135","doi":"https://doi.org/10.1145/3639631.3639671","title":"MOFC: Network Embedding Based on Multi-Orders Friends Contribution for User Identification","display_name":"MOFC: Network Embedding Based on Multi-Orders Friends Contribution for User Identification","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4391893135","doi":"https://doi.org/10.1145/3639631.3639671"},"language":"en","primary_location":{"id":"doi:10.1145/3639631.3639671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639631.3639671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Algorithms Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079822614","display_name":"Jiajing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajing Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Anhui Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Anhui Jianzhu University, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059219649","display_name":"Neng Xu","orcid":"https://orcid.org/0000-0002-5802-8554"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Neng Xu","raw_affiliation_strings":["School of Electronics and Information Engineering, Anhui Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Anhui Jianzhu University, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103267118","display_name":"Jinlan Chen","orcid":"https://orcid.org/0000-0002-5693-2195"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlan Chen","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Anhui Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Anhui Jianzhu University, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053920875","display_name":"Tinghuai Ma","orcid":"https://orcid.org/0000-0003-2320-1692"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghuai Ma","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science &amp; Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science &amp; Technology, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079822614"],"corresponding_institution_ids":["https://openalex.org/I118987531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20835624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10096","display_name":"Metal-Organic Frameworks: Synthesis and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1604","display_name":"Inorganic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7409082055091858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655890703201294},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6403969526290894},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40845003724098206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18655744194984436}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7409082055091858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655890703201294},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6403969526290894},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40845003724098206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18655744194984436},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639631.3639671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639631.3639671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Algorithms Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2017082499","https://openalex.org/W2047532797","https://openalex.org/W2090891622","https://openalex.org/W2154851992","https://openalex.org/W2159675343","https://openalex.org/W2241660235","https://openalex.org/W2804094962","https://openalex.org/W2915993570","https://openalex.org/W2962756421","https://openalex.org/W3104097132","https://openalex.org/W4306317358","https://openalex.org/W4316465039","https://openalex.org/W4362581699","https://openalex.org/W4368353177"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Different":[0],"social":[1,15],"networks":[2,16],"are":[3,108,128,141],"independent":[4],"of":[5,18,28,32,46,60,79,104,117,125,146,164,187],"each":[6],"other,":[7],"and":[8,25,48,96,120,152,180],"identifying":[9],"the":[10,26,43,75,91,94,100,112,118,122,137,161,165,178,182,184,194,202,210],"same":[11],"person":[12],"in":[13],"different":[14,44,88,113,126],"is":[17,72,84],"great":[19],"significance":[20],"for":[21,36,68],"cross-network":[22],"information":[23],"dissemination":[24],"construction":[27],"a":[29,147,154],"complete":[30],"portrait":[31],"users.":[33],"Existing":[34],"methods":[35],"user":[37,155],"identification":[38,156],"via":[39],"network":[40,134,149],"embedding":[41,101],"ignore":[42],"contributions":[45],"neighbors":[47],"only":[49],"consider":[50],"low-order":[51],"friend":[52,106,115],"relationships.":[53],"Aiming":[54],"at":[55],"these":[56],"shortcomings,":[57],"an":[58],"algorithm":[59],"Network":[61],"Embedding":[62],"based":[63],"on":[64],"Multi-Orders":[65],"Friends":[66],"Contribution":[67],"User":[69],"Identification":[70],"(MOFC)":[71],"proposed.":[73],"Firstly,":[74],"difference":[76],"contribution":[77,107],"degree":[78],"nodes":[80,95],"to":[81,86,90,110,130,150],"their":[82,97],"friends":[83],"used":[85,109,142],"assign":[87],"weights":[89],"edges":[92],"between":[93],"friends.":[98],"Secondly,":[99],"representation":[102,123,139],"vectors":[103,124,140],"multi-orders":[105],"describe":[111],"orders":[114,127],"relations":[116],"nodes,":[119],"then":[121],"merged":[129],"more":[131],"comprehensively":[132],"represent":[133],"features.":[135],"Finally,":[136],"fusion":[138],"as":[143],"input":[144],"sample":[145],"neural":[148],"train":[151],"build":[153],"model.":[157],"Experiments":[158],"show":[159],"that":[160],"evaluation":[162],"indicators":[163],"model":[166],"have":[167],"been":[168],"significantly":[169],"improved":[170],"compared":[171],"with":[172,177],"several":[173],"advanced":[174],"methods.":[175],"Compared":[176],"newer":[179],"better":[181],"CSN_LINE,":[183],"accuracy":[185],"rate":[186,196,204],"MOFC":[188],"can":[189,197,205,212],"be":[190,198,206,213],"increased":[191,199,207,214],"by":[192,200,208,215],"4.83%,":[193],"precision":[195],"6.77%,":[201],"recall":[203],"5.49%,":[209],"F1-score":[211],"5.43%.":[216]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
