{"id":"https://openalex.org/W4385361721","doi":"https://doi.org/10.3390/e25081118","title":"Network Analytics Enabled by Generating a Pool of Network Variants from Noisy Data","display_name":"Network Analytics Enabled by Generating a Pool of Network Variants from Noisy Data","publication_year":2023,"publication_date":"2023-07-26","ids":{"openalex":"https://openalex.org/W4385361721","doi":"https://doi.org/10.3390/e25081118","pmid":"https://pubmed.ncbi.nlm.nih.gov/37628148"},"language":"en","primary_location":{"id":"doi:10.3390/e25081118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081118","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1118/pdf?version=1690366253","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/8/1118/pdf?version=1690366253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016013286","display_name":"Aamir Mandviwalla","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aamir Mandviwalla","raw_affiliation_strings":["Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000574849","display_name":"Amr Elsisy","orcid":"https://orcid.org/0000-0001-8758-0121"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amr Elsisy","raw_affiliation_strings":["Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"],"raw_orcid":"https://orcid.org/0000-0001-8758-0121","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092564242","display_name":"Muhammad Saad Atique","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Saad Atique","raw_affiliation_strings":["Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077740969","display_name":"Konstantin Kuzmin","orcid":"https://orcid.org/0000-0002-9586-4412"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantin Kuzmin","raw_affiliation_strings":["Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072516895","display_name":"Chris Gaiteri","orcid":"https://orcid.org/0000-0001-7838-8664"},"institutions":[{"id":"https://openalex.org/I1285301757","display_name":"Rush University Medical Center","ror":"https://ror.org/01j7c0b24","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1285301757"]},{"id":"https://openalex.org/I20388574","display_name":"SUNY Upstate Medical University","ror":"https://ror.org/040kfrw16","country_code":"US","type":"education","lineage":["https://openalex.org/I20388574"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Gaiteri","raw_affiliation_strings":["Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA","Rush Alzheimer\u2019s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, USA","institution_ids":["https://openalex.org/I20388574"]},{"raw_affiliation_string":"Rush Alzheimer\u2019s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA","institution_ids":["https://openalex.org/I1285301757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004745888","display_name":"Boles\u0142aw K. Szyma\u0144ski","orcid":"https://orcid.org/0000-0002-0307-6743"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boleslaw K. Szymanski","raw_affiliation_strings":["Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"],"raw_orcid":"https://orcid.org/0000-0002-0307-6743","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004745888"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.1599,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44283901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"8","first_page":"1118","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9987999796867371,"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":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206162214279175},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.5443891286849976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5229583382606506},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46349024772644043},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.4624367654323578},{"id":"https://openalex.org/keywords/network-motif","display_name":"Network motif","score":0.4350185990333557},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4189970791339874},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.41225630044937134},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3685801327228546},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.25663912296295166},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14531373977661133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206162214279175},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.5443891286849976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5229583382606506},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46349024772644043},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4624367654323578},{"id":"https://openalex.org/C60723933","wikidata":"https://www.wikidata.org/wiki/Q7001080","display_name":"Network motif","level":3,"score":0.4350185990333557},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4189970791339874},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.41225630044937134},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3685801327228546},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.25663912296295166},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14531373977661133},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25081118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081118","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1118/pdf?version=1690366253","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:37628148","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37628148","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10453411","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10453411","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10453411/pdf/entropy-25-01118.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:984fb887e8904ce4b8593011a7580042","is_oa":true,"landing_page_url":"https://doaj.org/article/984fb887e8904ce4b8593011a7580042","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 8, p 1118 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/8/1118/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25081118","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":"Entropy; Volume 25; Issue 8; Pages: 1118","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25081118","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081118","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1118/pdf?version=1690366253","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G8170976550","display_name":null,"funder_award_id":"2017-ST061-CINA01","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385361721.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W337272700","https://openalex.org/W565427087","https://openalex.org/W1987228002","https://openalex.org/W2007516075","https://openalex.org/W2007541434","https://openalex.org/W2023655578","https://openalex.org/W2066873261","https://openalex.org/W2095293504","https://openalex.org/W2102907934","https://openalex.org/W2120973253","https://openalex.org/W2123402141","https://openalex.org/W2131681506","https://openalex.org/W2133747068","https://openalex.org/W2149310258","https://openalex.org/W2512531135","https://openalex.org/W2581780941","https://openalex.org/W2761803352","https://openalex.org/W2782749849","https://openalex.org/W2804313209","https://openalex.org/W2898327354","https://openalex.org/W2967052953","https://openalex.org/W2997054664","https://openalex.org/W3047218600","https://openalex.org/W3099768174","https://openalex.org/W3104833980","https://openalex.org/W3137415742","https://openalex.org/W3214705835"],"related_works":["https://openalex.org/W1498018581","https://openalex.org/W3215441906","https://openalex.org/W38638283","https://openalex.org/W2135602072","https://openalex.org/W812203021","https://openalex.org/W2071903511","https://openalex.org/W2735084217","https://openalex.org/W3128621823","https://openalex.org/W2916252905","https://openalex.org/W4234086543"],"abstract_inverted_index":{"Mapping":[0],"network":[1,8,21,84,88,120,136,146,159,238,261,307],"nodes":[2,80,308],"and":[3,7,23,41,59,83,99,311],"edges":[4],"to":[5,12,30,43,81,189,309],"communities":[6,82,98,310],"functions":[9,42,60,100,312],"is":[10,137,257,290],"crucial":[11],"gaining":[13],"a":[14,112,127,161,217,282,286],"higher":[15],"level":[16],"of":[17,19,61,79,101,129,142,152,163,170,180,183,193,198,233,239,249,268,300,306],"understanding":[18],"the":[20,57,72,77,91,102,118,123,143,149,164,168,173,178,181,190,221,227,236,240,247,250,255,260,266,272,296,303],"structure":[22,40],"functions.":[24],"Such":[25],"mappings":[26,305],"are":[27],"particularly":[28],"challenging":[29],"design":[31],"for":[32,223,243,284],"covert":[33],"social":[34],"networks,":[35,63],"which":[36,269,289],"intentionally":[37],"hide":[38],"their":[39,209],"protect":[44],"important":[45],"members":[46],"from":[47,235],"attacks":[48],"or":[49],"arrests.":[50],"Here,":[51],"we":[52,110,214,279],"focus":[53],"on":[54,90,122,226,302],"correctly":[55],"inferring":[56],"structures":[58],"such":[62,158],"but":[64,294],"our":[65],"methodology":[66],"can":[67,94,215,263,270],"be":[68],"broadly":[69],"applied.":[70],"Without":[71],"ground":[73,165],"truth,":[74],"knowledge":[75],"about":[76],"allocation":[78],"functions,":[85],"no":[86],"single":[87],"based":[89,121],"noisy":[92,124,315],"data":[93],"represent":[95],"all":[96,194],"plausible":[97],"true":[103],"underlying":[104],"network.":[105,154,228],"To":[106],"address":[107],"this":[108,184],"limitation,":[109],"apply":[111],"generative":[113],"model":[114],"that":[115,153,219],"randomly":[116,292],"distorts":[117],"original":[119],"data,":[125],"generating":[126,230],"pool":[128],"statistically":[130],"equivalent":[131],"networks.":[132,196],"Each":[133],"unique":[134],"generated":[135,195,293],"recorded,":[138],"while":[139],"each":[140,157],"duplicate":[141],"already":[144],"recorded":[145],"just":[147],"increases":[148],"repetition":[150],"count":[151,182],"We":[155],"treat":[156],"as":[160],"variant":[162,218],"truth":[166],"with":[167,200],"probability":[169],"arising":[171],"in":[172,276],"real":[174],"world":[175],"approximated":[176],"by":[177,208,314],"ratio":[179],"network's":[185],"duplicates":[186,203],"plus":[187],"one":[188],"total":[191],"number":[192],"Communities":[197],"variants":[199],"frequently":[201],"occurring":[202],"contain":[204],"persistent":[205],"patterns":[206],"shared":[207],"structures.":[210],"Using":[211],"Shannon":[212],"entropy,":[213],"find":[216],"minimizes":[220],"uncertainty":[222],"operations":[224],"planned":[225],"Repeatedly":[229],"new":[231,252,287],"pools":[232],"networks":[234],"best":[237,251],"previous":[241],"step":[242],"several":[244],"steps":[245],"lowers":[246],"entropy":[248,256],"variant.":[253],"If":[254],"too":[258],"high,":[259],"operators":[262],"identify":[264],"nodes,":[265],"monitoring":[267],"achieve":[271],"most":[273],"significant":[274],"reduction":[275],"entropy.":[277],"Finally,":[278],"also":[280],"present":[281],"heuristic":[283],"constructing":[285],"variant,":[288],"not":[291],"has":[295],"lowest":[297],"expected":[298],"cost":[299],"operating":[301],"distorted":[304],"caused":[313],"data.":[316]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
