{"id":"https://openalex.org/W4411059921","doi":"https://doi.org/10.1080/10618600.2025.2509588","title":"A Bootstrap-based Method for Testing Similarity of Matched Networks","display_name":"A Bootstrap-based Method for Testing Similarity of Matched Networks","publication_year":2025,"publication_date":"2025-06-05","ids":{"openalex":"https://openalex.org/W4411059921","doi":"https://doi.org/10.1080/10618600.2025.2509588"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2025.2509588","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2025.2509588","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078087930","display_name":"Somnath Bhadra","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somnath Bhadra","raw_affiliation_strings":["Department of Statistics, University of Florida","Department of Statistics, University of Florida, Gainesville, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Statistics, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037551013","display_name":"Kaustav Chakraborty","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaustav Chakraborty","raw_affiliation_strings":["Department of Statistics, University of Illinois at Urbana-Champaign","Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000411106","display_name":"Srijan Sengupta","orcid":"https://orcid.org/0000-0001-6889-8599"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srijan Sengupta","raw_affiliation_strings":["Department of Statistics, North Carolina State University","Department of Statistics, North Carolina State University, Raleigh, NC"],"raw_orcid":"https://orcid.org/0000-0001-6889-8599","affiliations":[{"raw_affiliation_string":"Department of Statistics, North Carolina State University","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Statistics, North Carolina State University, Raleigh, NC","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101467595","display_name":"Soumendra N. Lahiri","orcid":"https://orcid.org/0000-0002-1247-8197"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumendra N. Lahiri","raw_affiliation_strings":["Department of Mathematics and Statistics, Washington University in St. Louis","Department of Mathematics and Statistics, Washington University in St. Louis, St Louis, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Washington University in St. Louis","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Washington University in St. Louis, St Louis, MO","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000411106"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09782111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"1","first_page":"129","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9954000115394592,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9786999821662903,"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":0.5662014484405518},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5020444393157959},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4232999384403229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41898036003112793},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3834349811077118},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38021740317344666},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.351828932762146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3077303171157837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662014484405518},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5020444393157959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4232999384403229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41898036003112793},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3834349811077118},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38021740317344666},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.351828932762146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3077303171157837},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10618600.2025.2509588","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2025.2509588","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},{"id":"pmh:doi:10.6084/m9.figshare.29246829","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"}],"best_oa_location":{"id":"pmh:doi:10.6084/m9.figshare.29246829","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4283159896","display_name":null,"funder_award_id":"DMS-2413327","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1488205271","https://openalex.org/W1520162931","https://openalex.org/W1529204293","https://openalex.org/W1576848465","https://openalex.org/W1578330309","https://openalex.org/W1595344052","https://openalex.org/W1827214880","https://openalex.org/W1839609872","https://openalex.org/W1848620603","https://openalex.org/W1858738875","https://openalex.org/W1858873990","https://openalex.org/W1940621254","https://openalex.org/W1963954507","https://openalex.org/W1967184357","https://openalex.org/W1987349051","https://openalex.org/W1995945562","https://openalex.org/W2009650955","https://openalex.org/W2010100928","https://openalex.org/W2011611181","https://openalex.org/W2020018100","https://openalex.org/W2027377866","https://openalex.org/W2058240339","https://openalex.org/W2061163551","https://openalex.org/W2066459332","https://openalex.org/W2095833325","https://openalex.org/W2102158416","https://openalex.org/W2102907934","https://openalex.org/W2112090702","https://openalex.org/W2117897510","https://openalex.org/W2119998616","https://openalex.org/W2146774335","https://openalex.org/W2322544799","https://openalex.org/W2327088997","https://openalex.org/W2328672706","https://openalex.org/W2404258945","https://openalex.org/W2470745145","https://openalex.org/W2595583675","https://openalex.org/W2614531606","https://openalex.org/W2746869990","https://openalex.org/W2748846107","https://openalex.org/W2754868470","https://openalex.org/W2771598170","https://openalex.org/W2802441652","https://openalex.org/W2885011032","https://openalex.org/W2889790583","https://openalex.org/W2902377057","https://openalex.org/W2963312008","https://openalex.org/W2963518062","https://openalex.org/W2963952769","https://openalex.org/W2963974511","https://openalex.org/W2964176492","https://openalex.org/W2964266311","https://openalex.org/W2965055549","https://openalex.org/W3016650262","https://openalex.org/W3098811112","https://openalex.org/W3100558473","https://openalex.org/W3103168877","https://openalex.org/W3103445515","https://openalex.org/W3104227803","https://openalex.org/W3110694252","https://openalex.org/W3116854403","https://openalex.org/W3177725164","https://openalex.org/W3205378782","https://openalex.org/W3205640022","https://openalex.org/W3206556971","https://openalex.org/W3207951730","https://openalex.org/W3208846087","https://openalex.org/W4210671204","https://openalex.org/W4210744095","https://openalex.org/W4298872162","https://openalex.org/W4312512934","https://openalex.org/W4353103000","https://openalex.org/W4382491434","https://openalex.org/W4384613947","https://openalex.org/W4386376301","https://openalex.org/W4388513805","https://openalex.org/W4389454609","https://openalex.org/W4391591766","https://openalex.org/W4401948254","https://openalex.org/W4404686413","https://openalex.org/W4408924598","https://openalex.org/W6629170253","https://openalex.org/W6721325980"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2961085424"],"abstract_inverted_index":{"This":[0],"article":[1,182],"studies":[2],"the":[3,9,43,47,96,124,145,151,165],"matched":[4],"network":[5,167],"inference":[6],"problem,":[7],"where":[8],"goal":[10],"is":[11,89],"to":[12,155],"determine":[13],"if":[14],"two":[15],"networks,":[16],"defined":[17],"on":[18,75],"a":[19,25,71,76,81,136,161],"common":[20],"set":[21],"of":[22,28,33,123,139,150],"nodes,":[23],"exhibit":[24],"specific":[26],"form":[27],"stochastic":[29,109],"similarity.":[30],"Two":[31],"notions":[32],"similarity":[34],"are":[35,62,183],"considered:":[36],"(i)":[37],"equality,":[38],"that":[39,55],"is,":[40,56],"testing":[41,57,72],"whether":[42,58],"networks":[44],"arise":[45],"from":[46],"same":[48],"random":[49,114],"graph":[50,117],"model,":[51],"and":[52,80,98,101,113,127,147],"(ii)":[53],"scaling,":[54],"their":[59,129],"probability":[60],"matrices":[61],"proportional":[63],"for":[64,180],"some":[65],"unknown":[66],"scaling":[67,99],"constant.":[68],"We":[69,119,158],"develop":[70],"framework":[73],"based":[74],"parametric":[77],"bootstrap":[78],"approach":[79,88],"Frobenius":[82],"norm-based":[83],"test":[84],"statistic.":[85],"The":[86],"proposed":[87,125,152],"highly":[90],"versatile":[91],"as":[92],"it":[93],"covers":[94],"both":[95],"equality":[97],"problems,":[100],"ensures":[102],"adaptability":[103],"under":[104,135],"various":[105],"model":[106,140],"settings,":[107],"including":[108],"blockmodels,":[110],"Chung-Lu":[111],"models,":[112],"dot":[115],"product":[116],"models.":[118],"establish":[120,144],"theoretical":[121],"consistency":[122],"tests":[126],"demonstrate":[128],"empirical":[130],"performance":[131],"through":[132],"extensive":[133],"simulations":[134],"wide":[137],"range":[138],"classes.":[141],"Our":[142],"results":[143],"flexibility":[146],"computational":[148],"efficiency":[149],"method":[153],"compared":[154],"existing":[156],"approaches.":[157],"also":[159],"report":[160],"real-world":[162],"application":[163],"involving":[164],"Aarhus":[166],"dataset,":[168],"which":[169],"reveals":[170],"meaningful":[171],"sociological":[172],"patterns":[173],"across":[174],"different":[175],"communication":[176],"layers.":[177],"Supplementary":[178],"materials":[179],"this":[181],"available":[184],"online.":[185]},"counts_by_year":[],"updated_date":"2026-02-20T06:14:18.993340","created_date":"2025-10-10T00:00:00"}
