{"id":"https://openalex.org/W2292299557","doi":"https://doi.org/10.1145/2808797.2809302","title":"Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks","display_name":"Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W2292299557","doi":"https://doi.org/10.1145/2808797.2809302","mag":"2292299557"},"language":"en","primary_location":{"id":"doi:10.1145/2808797.2809302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100721790","display_name":"Nan Du","orcid":"https://orcid.org/0000-0003-2855-7452"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Du","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781384","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-5083-2241"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069736915","display_name":"Liang Ge","orcid":"https://orcid.org/0000-0001-5136-8081"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Ge","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103090811","display_name":"Vishrawas Gopalakrishnan","orcid":"https://orcid.org/0000-0002-7161-7943"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishrawas Gopalakrishnan","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001445783","display_name":"Xiaowei Jia","orcid":"https://orcid.org/0000-0001-8544-5233"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaowei Jia","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456986","display_name":"Kang Li","orcid":"https://orcid.org/0000-0002-8136-9816"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013588572","display_name":"Aidong Zhang","orcid":"https://orcid.org/0000-0001-9723-3246"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidong Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY 14260-2500","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23349972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7859221696853638},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7116507291793823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6427007913589478},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6268757581710815},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6264413595199585},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5590521097183228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4822579026222229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43961742520332336},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07105156779289246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859221696853638},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7116507291793823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6427007913589478},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6268757581710815},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6264413595199585},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5590521097183228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4822579026222229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43961742520332336},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07105156779289246},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808797.2809302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","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":30,"referenced_works":["https://openalex.org/W183401690","https://openalex.org/W1550614472","https://openalex.org/W1556758605","https://openalex.org/W1866372755","https://openalex.org/W1970129615","https://openalex.org/W1976618413","https://openalex.org/W1993762161","https://openalex.org/W2019512103","https://openalex.org/W2026417691","https://openalex.org/W2057087916","https://openalex.org/W2087064593","https://openalex.org/W2100235918","https://openalex.org/W2102271161","https://openalex.org/W2110308599","https://openalex.org/W2112397748","https://openalex.org/W2117234597","https://openalex.org/W2118388899","https://openalex.org/W2134962976","https://openalex.org/W2140229016","https://openalex.org/W2154454189","https://openalex.org/W2155160033","https://openalex.org/W2157082398","https://openalex.org/W2161984370","https://openalex.org/W2165183684","https://openalex.org/W2165395308","https://openalex.org/W2169585110","https://openalex.org/W2296319761","https://openalex.org/W2768375068","https://openalex.org/W2990138404","https://openalex.org/W6684295950"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102","https://openalex.org/W2378093739"],"abstract_inverted_index":{"Despite":[0],"the":[1,75,93,150],"ability":[2],"to":[3,43,84,104],"model":[4],"many":[5],"real":[6,118],"world":[7,119],"settings":[8],"as":[9],"a":[10,54,63,111,129],"network,":[11],"one":[12],"major":[13],"challenge":[14],"in":[15,144,154],"analyzing":[16],"network":[17,56,97,120,146],"data":[18,121],"is":[19],"that":[20,123],"important":[21,46],"and":[22,33,47,62,81,99,157],"reliable":[23,48],"links":[24,49],"between":[25],"objects":[26],"are":[27],"usually":[28],"obscured":[29],"by":[30,57,135,147],"noisy":[31],"information":[32],"hence":[34],"not":[35],"readily":[36],"discernible.":[37],"In":[38,69],"this":[39,70],"paper,":[40],"we":[41,72],"propose":[42],"detect":[44,85],"these":[45],"-":[50],"significant":[51,86,142],"edges,":[52],"from":[53],"target":[55,80,145,156],"using":[58],"multiple":[59],"auxiliary":[60,82,158],"networks":[61,83],"limited":[64],"amount":[65],"of":[66,96],"labelled":[67],"information.":[68],"process,":[71],"first":[73],"abstract":[74],"community":[76,90],"knowledge":[77,91,152],"learnt":[78],"across":[79],"patterns.":[87],"The":[88],"mined":[89],"captures":[92],"key":[94],"profile":[95],"relationships":[98],"thus":[100],"can":[101],"be":[102],"used":[103],"determine":[105],"whether":[106],"an":[107],"existing":[108],"edge":[109,136],"indicates":[110],"true":[112],"or":[113],"false":[114],"relationship.":[115],"Experiments":[116],"on":[117],"show":[122],"our":[124],"two":[125],"staged":[126],"solution":[127],"--":[128],"joint":[130],"matrix":[131],"factorisation":[132],"procedure":[133],"followed":[134],"significance":[137],"score":[138],"ranking,":[139],"accurately":[140],"predicts":[141],"edges":[143],"jointly":[148],"exploring":[149],"underlying":[151],"embedded":[153],"both":[155],"networks.":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
