{"id":"https://openalex.org/W4404686413","doi":"https://doi.org/10.1080/10618600.2024.2432974","title":"Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling","display_name":"Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404686413","doi":"https://doi.org/10.1080/10618600.2024.2432974"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2024.2432974","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2432974","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010212783","display_name":"Kaustav Chakraborty","orcid":"https://orcid.org/0000-0002-6842-6193"},"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, Champaign, IL 61820"],"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, Champaign, IL 61820","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":false,"raw_author_name":"Srijan Sengupta","raw_affiliation_strings":["Department of Statistics, North Carolina State University","Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695"],"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, North Carolina 27695","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687012","display_name":"Yuguo Chen","orcid":"https://orcid.org/0000-0001-7148-1823"},"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":true,"raw_author_name":"Yuguo Chen","raw_affiliation_strings":["Department of Statistics, University of Illinois at Urbana-Champaign","Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL 61820"],"raw_orcid":"https://orcid.org/0000-0001-7148-1823","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, Champaign, IL 61820","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101687012"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.7008,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9094362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"34","issue":"3","first_page":"1127","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9674000144004822,"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/computer-science","display_name":"Computer science","score":0.6330015659332275},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5320060849189758},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5169519782066345},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4821709990501404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37747859954833984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37708359956741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.355694055557251},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3388781249523163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3322099447250366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2699987292289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330015659332275},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5320060849189758},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5169519782066345},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4821709990501404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37747859954833984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37708359956741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.355694055557251},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3388781249523163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3322099447250366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2699987292289734},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10618600.2024.2432974","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2432974","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G350150056","display_name":null,"funder_award_id":"DMS-2413610","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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"},{"id":"https://openalex.org/G7919296844","display_name":null,"funder_award_id":"DMS-2015561","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8903871817","display_name":null,"funder_award_id":"CCF-1934986","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":41,"referenced_works":["https://openalex.org/W1556806542","https://openalex.org/W1573579329","https://openalex.org/W1788862736","https://openalex.org/W1848620603","https://openalex.org/W1858873990","https://openalex.org/W1963954507","https://openalex.org/W1987349051","https://openalex.org/W2032005951","https://openalex.org/W2032136732","https://openalex.org/W2044808496","https://openalex.org/W2066459332","https://openalex.org/W2099657218","https://openalex.org/W2102907934","https://openalex.org/W2108134720","https://openalex.org/W2113146118","https://openalex.org/W2119998616","https://openalex.org/W2170582628","https://openalex.org/W2404258945","https://openalex.org/W2486096428","https://openalex.org/W2492277691","https://openalex.org/W2595583675","https://openalex.org/W2596535828","https://openalex.org/W2614531606","https://openalex.org/W2746869990","https://openalex.org/W2748846107","https://openalex.org/W2884607871","https://openalex.org/W2889790583","https://openalex.org/W2963952769","https://openalex.org/W2964214140","https://openalex.org/W2965055549","https://openalex.org/W2991200776","https://openalex.org/W2996986912","https://openalex.org/W3012263732","https://openalex.org/W3044420422","https://openalex.org/W3098811112","https://openalex.org/W3103168877","https://openalex.org/W3208846087","https://openalex.org/W4312512934","https://openalex.org/W4386035716","https://openalex.org/W4388665653","https://openalex.org/W6634264458"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}