{"id":"https://openalex.org/W4404927952","doi":"https://doi.org/10.1145/3706111","title":"Structure Amplification on Multi-layer Stochastic Block Models","display_name":"Structure Amplification on Multi-layer Stochastic Block Models","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404927952","doi":"https://doi.org/10.1145/3706111"},"language":"en","primary_location":{"id":"doi:10.1145/3706111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706111","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706111","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3706111","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033526822","display_name":"Kun He","orcid":"https://orcid.org/0000-0001-7627-4604"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun He","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Science and Technology, Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-7627-4604","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110956710","display_name":"Xiaodong Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xin","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Science and Technology, Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-9099-2690","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064550758","display_name":"Jialu Bao","orcid":"https://orcid.org/0000-0002-2353-350X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialu Bao","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA","Department of Computer Science, Cornell University, USA"],"raw_orcid":"https://orcid.org/0000-0002-2353-350X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377254","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0003-4579-2083"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Science and Technology, Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-4579-2083","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105461279","display_name":"Bart Selman","orcid":"https://orcid.org/0000-0003-0666-3123"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bart Selman","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA","Department of Computer Science, Cornell University, USA"],"raw_orcid":"https://orcid.org/0000-0003-0666-3123","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043211393","display_name":"John E. Hopcroft","orcid":"https://orcid.org/0000-0001-8681-6075"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John E. Hopcroft","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA","Department of Computer Science, Cornell University, USA"],"raw_orcid":"https://orcid.org/0000-0001-8681-6075","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033526822"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2016045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9954000115394592,"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":0.9954000115394592,"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/T10799","display_name":"Data Visualization and Analytics","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9639000296592712,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6494815349578857},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.6209051609039307},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6034722924232483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538250207901001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3311953544616699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26805979013442993},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09420928359031677},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.0673665702342987},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06036457419395447}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6494815349578857},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.6209051609039307},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6034722924232483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538250207901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3311953544616699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26805979013442993},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09420928359031677},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0673665702342987},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06036457419395447},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706111","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706111","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3706111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706111","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706111","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G5601515516","display_name":null,"funder_award_id":"U22B2017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404927952.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1970301364","https://openalex.org/W1971421925","https://openalex.org/W1995996823","https://openalex.org/W2016273060","https://openalex.org/W2095072199","https://openalex.org/W2095293504","https://openalex.org/W2110620844","https://openalex.org/W2120043163","https://openalex.org/W2127405101","https://openalex.org/W2127957894","https://openalex.org/W2131681506","https://openalex.org/W2136486572","https://openalex.org/W2164928285","https://openalex.org/W2164998314","https://openalex.org/W2592380430","https://openalex.org/W2914515511","https://openalex.org/W2928156213","https://openalex.org/W2952223573","https://openalex.org/W2963417420","https://openalex.org/W2976688833","https://openalex.org/W3006206211","https://openalex.org/W3017750840","https://openalex.org/W3034647178","https://openalex.org/W3099768174","https://openalex.org/W3108517672","https://openalex.org/W3120491054","https://openalex.org/W3168808485","https://openalex.org/W3184640909","https://openalex.org/W4200634453","https://openalex.org/W4210432992","https://openalex.org/W4226319036","https://openalex.org/W4255673994","https://openalex.org/W4292081303","https://openalex.org/W4295213622","https://openalex.org/W4300515886","https://openalex.org/W6992675820"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4320169517","https://openalex.org/W3006206211","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W3137238582","https://openalex.org/W3160515686","https://openalex.org/W3205521290"],"abstract_inverted_index":{"Much":[0],"of":[1,4,24,98,105,114,137,143,188,207,224,230,233],"the":[2,12,16,19,78,96,103,106,115,135,141,163,178,186,194,198,204,222,228,236],"complexity":[3],"social,":[5],"biological,":[6],"and":[7,76,80,91,102,118,128,209,215,227],"engineering":[8],"systems":[9],"arises":[10],"from":[11],"complicated":[13],"interactions":[14],"among":[15],"entities":[17],"in":[18,38,197],"corresponding":[20],"networks.":[21,40],"A":[22],"number":[23,232],"network":[25],"analysis":[26,94,176],"tools":[27],"have":[28],"been":[29],"successfully":[30],"used":[31],"to":[32,51,74,132,184,220],"discover":[33],"latent":[34],"structures":[35,47],"termed":[36],"communities":[37,43],"such":[39],"However,":[41],"some":[42],"with":[44,63],"relatively":[45],"weak":[46],"can":[48,152],"be":[49],"difficult":[50],"uncover":[52],"because":[53],"they":[54],"are":[55,218],"obscured":[56],"by":[57],"other":[58],"stronger":[59],"connections.":[60],"To":[61],"cope":[62],"this":[64,85,130],"situation,":[65],"our":[66],"previous":[67],"work":[68,168],"proposes":[69],"an":[70],"algorithm":[71,226],"called":[72],"HICODE":[73,107,225],"detect":[75],"amplify":[77],"dominant":[79,144,164,195],"hidden":[81,99,138,189],"community":[82,100,157],"structures.":[83],"In":[84],"work,":[86],"we":[87,121],"conduct":[88],"a":[89,123],"comprehensive":[90],"systematic":[92],"theoretical":[93,175],"on":[95,162,235],"impact":[97,229],"structure":[101,139,145,165,190,196],"efficacy":[104],"algorithm,":[108],"as":[109,111,170,191,193],"well":[110,169,192],"provide":[112,174],"illustrations":[113],"detection":[116,142,158,237],"process":[117,223],"results.":[119],"Specifically,":[120],"define":[122],"multi-layer":[124,199],"stochastic":[125,200],"block":[126,201],"model":[127,131,202],"use":[129],"explain":[133,154],"why":[134,155],"existence":[136],"makes":[140],"harder":[146],"than":[147],"equivalent":[148],"random":[149],"noises,":[150],"which":[151],"also":[153],"many":[156],"algorithms":[159],"only":[160],"focusing":[161],"do":[166],"not":[167],"expected.":[171],"We":[172],"then":[173],"that":[177],"iterative":[179],"reducing":[180],"methods":[181],"could":[182],"help":[183],"enhance":[185],"discovery":[187],"for":[203],"two":[205],"cases":[206],"accurate":[208],"inaccurate":[210],"detection.":[211],"Finally,":[212],"visual":[213],"simulations":[214],"experimental":[216],"results":[217],"presented":[219],"show":[221],"different":[231],"layers":[234],"quality.":[238]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}