{"id":"https://openalex.org/W2762373010","doi":"https://doi.org/10.3390/a10040113","title":"Scale Reduction Techniques for Computing Maximum Induced Bicliques","display_name":"Scale Reduction Techniques for Computing Maximum Induced Bicliques","publication_year":2017,"publication_date":"2017-10-04","ids":{"openalex":"https://openalex.org/W2762373010","doi":"https://doi.org/10.3390/a10040113","mag":"2762373010"},"language":"en","primary_location":{"id":"doi:10.3390/a10040113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040113","pdf_url":"https://www.mdpi.com/1999-4893/10/4/113/pdf?version=1507629318","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/10/4/113/pdf?version=1507629318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084875025","display_name":"Shahram Shahinpour","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117753","display_name":"Sabre (United States)","ror":"https://ror.org/023y94y35","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahram Shahinpour","raw_affiliation_strings":["Sabre Corporation, Southlake, TX 76092, USA"],"affiliations":[{"raw_affiliation_string":"Sabre Corporation, Southlake, TX 76092, USA","institution_ids":["https://openalex.org/I4210117753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083351329","display_name":"Shirin Shirvani","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shirin Shirvani","raw_affiliation_strings":["Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022420104","display_name":"Zeynep Ertem","orcid":"https://orcid.org/0000-0003-0632-0905"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeynep Ertem","raw_affiliation_strings":["Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX 78712, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX 78712, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029500446","display_name":"Sergiy Butenko","orcid":"https://orcid.org/0000-0002-6662-9552"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sergiy Butenko","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029500446"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.4542,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.66427429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"4","first_page":"113","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9925000071525574,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.8037683367729187},{"id":"https://openalex.org/keywords/complete-bipartite-graph","display_name":"Complete bipartite graph","score":0.7844024300575256},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6715975999832153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5597977042198181},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5078738331794739},{"id":"https://openalex.org/keywords/maximum-cut","display_name":"Maximum cut","score":0.4915708005428314},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.45686882734298706},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4512440860271454},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44641977548599243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.423946350812912},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4179030656814575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3693430721759796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3268522024154663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15633168816566467}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.8037683367729187},{"id":"https://openalex.org/C134119311","wikidata":"https://www.wikidata.org/wiki/Q913598","display_name":"Complete bipartite graph","level":4,"score":0.7844024300575256},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6715975999832153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5597977042198181},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5078738331794739},{"id":"https://openalex.org/C165526019","wikidata":"https://www.wikidata.org/wiki/Q942557","display_name":"Maximum cut","level":3,"score":0.4915708005428314},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.45686882734298706},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4512440860271454},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44641977548599243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.423946350812912},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4179030656814575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3693430721759796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3268522024154663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15633168816566467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a10040113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040113","pdf_url":"https://www.mdpi.com/1999-4893/10/4/113/pdf?version=1507629318","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:978816c741984776935cfd59a9f09463","is_oa":true,"landing_page_url":"https://doaj.org/article/978816c741984776935cfd59a9f09463","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 10, Iss 4, p 113 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/10/4/113/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a10040113","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 10; Issue 4; Pages: 113","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a10040113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040113","pdf_url":"https://www.mdpi.com/1999-4893/10/4/113/pdf?version=1507629318","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2762373010.pdf","grobid_xml":"https://content.openalex.org/works/W2762373010.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W95643803","https://openalex.org/W106934005","https://openalex.org/W1594785451","https://openalex.org/W1630819406","https://openalex.org/W1794289031","https://openalex.org/W1842663434","https://openalex.org/W1966274907","https://openalex.org/W1980096229","https://openalex.org/W1980503920","https://openalex.org/W1995472412","https://openalex.org/W2002396510","https://openalex.org/W2005863517","https://openalex.org/W2008088179","https://openalex.org/W2046112356","https://openalex.org/W2051006653","https://openalex.org/W2061584385","https://openalex.org/W2063498317","https://openalex.org/W2065163038","https://openalex.org/W2079535727","https://openalex.org/W2109291623","https://openalex.org/W2130790725","https://openalex.org/W2131169256","https://openalex.org/W2136829801","https://openalex.org/W2142798246","https://openalex.org/W2144544802","https://openalex.org/W2150718242","https://openalex.org/W2151626491","https://openalex.org/W2152495216","https://openalex.org/W2162121795","https://openalex.org/W2163970999","https://openalex.org/W2231625113","https://openalex.org/W2505071075","https://openalex.org/W2513955757","https://openalex.org/W2565184432","https://openalex.org/W2764172504","https://openalex.org/W2914414140","https://openalex.org/W4250352622","https://openalex.org/W4292230561","https://openalex.org/W6629329278","https://openalex.org/W6644524268","https://openalex.org/W6661829240","https://openalex.org/W6958955583"],"related_works":["https://openalex.org/W2174899211","https://openalex.org/W2091826982","https://openalex.org/W245205139","https://openalex.org/W1487038674","https://openalex.org/W2036057584","https://openalex.org/W4246000090","https://openalex.org/W2953390393","https://openalex.org/W2107875203","https://openalex.org/W4234658180","https://openalex.org/W3098480989"],"abstract_inverted_index":{"Given":[0],"a":[1,6,9,14,36,54],"simple,":[2],"undirected":[3],"graph":[4],"G,":[5],"biclique":[7,31,37,49,55],"is":[8],"subset":[10],"of":[11,38,60,80,111,122],"vertices":[12],"inducing":[13],"complete":[15],"bipartite":[16],"subgraph":[17],"in":[18,42,62,70,74,97],"G.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"consider":[24],"two":[25],"associated":[26],"optimization":[27],"problems,":[28],"the":[29,39,43,46,57,63,120,123],"maximum":[30,40,47,58],"problem,":[32,50],"which":[33],"asks":[34],"for":[35,93],"cardinality":[41],"graph,":[44],"and":[45],"edge":[48],"aiming":[51],"to":[52],"find":[53,68],"with":[56,106,114],"number":[59],"edges":[61],"graph.":[64],"These":[65],"NP-hard":[66],"problems":[67,82],"applications":[69],"biclustering-type":[71],"tasks":[72],"arising":[73],"complex":[75],"network":[76,117],"analysis.":[77],"Real-life":[78],"instances":[79,118],"these":[81],"often":[83],"involve":[84],"massive,":[85],"but":[86],"sparse":[87],"networks.":[88],"We":[89],"develop":[90],"exact":[91],"approaches":[92],"detecting":[94],"optimal":[95],"bicliques":[96],"large-scale":[98],"graphs":[99],"that":[100],"combine":[101],"effective":[102],"scale":[103],"reduction":[104],"techniques":[105],"integer":[107],"programming":[108],"methodology.":[109],"Results":[110],"computational":[112],"experiments":[113],"numerous":[115],"real-life":[116],"demonstrate":[119],"performance":[121],"proposed":[124],"approach.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-10-20T00:00:00"}