{"id":"https://openalex.org/W4411277037","doi":"https://doi.org/10.1145/3732772.3733510","title":"Sublinear-Time Sampling of Spanning Trees in the Congested Clique","display_name":"Sublinear-Time Sampling of Spanning Trees in the Congested Clique","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411277037","doi":"https://doi.org/10.1145/3732772.3733510"},"language":"en","primary_location":{"id":"doi:10.1145/3732772.3733510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3732772.3733510","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3732772.3733510","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Principles of Distributed Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3732772.3733510","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013414239","display_name":"Sriram V. Pemmaraju","orcid":"https://orcid.org/0000-0002-0834-3476"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sriram V. Pemmaraju","raw_affiliation_strings":["University of Iowa, Iowa City, USA"],"raw_orcid":"https://orcid.org/0000-0002-0834-3476","affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033973608","display_name":"Sourya Roy","orcid":"https://orcid.org/0000-0001-9160-1503"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sourya Roy","raw_affiliation_strings":["University of Iowa, Iowa City, USA"],"raw_orcid":"https://orcid.org/0000-0001-9160-1503","affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083248864","display_name":"Joshua Z. Sobel","orcid":"https://orcid.org/0009-0004-7482-0754"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Z. Sobel","raw_affiliation_strings":["University of Iowa, Iowa City, USA"],"raw_orcid":"https://orcid.org/0009-0004-7482-0754","affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":5.984,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92521368,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9990000128746033,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9990000128746033,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.7997857332229614},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.707072377204895},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5592035055160522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288119316101074},{"id":"https://openalex.org/keywords/spanning-tree","display_name":"Spanning tree","score":0.44802340865135193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40408024191856384},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37019583582878113},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32820194959640503},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1221645176410675}],"concepts":[{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7997857332229614},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.707072377204895},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5592035055160522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288119316101074},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.44802340865135193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40408024191856384},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37019583582878113},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32820194959640503},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1221645176410675},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3732772.3733510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3732772.3733510","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3732772.3733510","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Principles of Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3732772.3733510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3732772.3733510","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3732772.3733510","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Principles of Distributed Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5624203523","display_name":"Collaborative Research: AF: Medium: The Communication Cost of Distributed Computation","funder_award_id":"2402835","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411277037.pdf","grobid_xml":"https://content.openalex.org/works/W4411277037.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1503698146","https://openalex.org/W1816797629","https://openalex.org/W1845051857","https://openalex.org/W1972636593","https://openalex.org/W1981998274","https://openalex.org/W1985234177","https://openalex.org/W1985361054","https://openalex.org/W1992996565","https://openalex.org/W2019040312","https://openalex.org/W2021272950","https://openalex.org/W2034186795","https://openalex.org/W2038652993","https://openalex.org/W2057037070","https://openalex.org/W2057082426","https://openalex.org/W2062877152","https://openalex.org/W2065316625","https://openalex.org/W2107008873","https://openalex.org/W2107805020","https://openalex.org/W2109176946","https://openalex.org/W2111933629","https://openalex.org/W2114924587","https://openalex.org/W2129565593","https://openalex.org/W2139535340","https://openalex.org/W2156184725","https://openalex.org/W2161611531","https://openalex.org/W2488670996","https://openalex.org/W2535798727","https://openalex.org/W2585821195","https://openalex.org/W2620774153","https://openalex.org/W2739022923","https://openalex.org/W2765269579","https://openalex.org/W2788015272","https://openalex.org/W2788542505","https://openalex.org/W2788969846","https://openalex.org/W2810492404","https://openalex.org/W2904719450","https://openalex.org/W2914272038","https://openalex.org/W2950274216","https://openalex.org/W2962742362","https://openalex.org/W2962800567","https://openalex.org/W2962969574","https://openalex.org/W2963005538","https://openalex.org/W2981102295","https://openalex.org/W3009187765","https://openalex.org/W3022417154","https://openalex.org/W3034669632","https://openalex.org/W3104611438","https://openalex.org/W3106163788","https://openalex.org/W3111890340","https://openalex.org/W3122114375","https://openalex.org/W3134476162","https://openalex.org/W3159770304","https://openalex.org/W3167350281","https://openalex.org/W3168179120","https://openalex.org/W3170394705","https://openalex.org/W4213146104","https://openalex.org/W4281639610","https://openalex.org/W4286209950","https://openalex.org/W4377971957","https://openalex.org/W4385714774"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W90906771","https://openalex.org/W2018828772","https://openalex.org/W2529185025","https://openalex.org/W2052708136","https://openalex.org/W2809723425","https://openalex.org/W2005302727","https://openalex.org/W4289097813","https://openalex.org/W4296605418","https://openalex.org/W4385493656"],"abstract_inverted_index":{"We":[0,90],"present":[1],"the":[2,19,50,65,72,84],"first":[3],"sublinear-in-n":[4],"round":[5],"algorithm":[6,28,56,94],"for":[7,33,43],"sampling":[8,34],"an":[9,15],"approximately":[10],"uniform":[11,51],"spanning":[12,36],"tree":[13,37],"of":[14,22,68,111],"n-vertex":[16],"graph":[17],"in":[18,71],"CongestedClique":[20,73],"model":[21,74],"distributed":[23],"computing.":[24],"In":[25],"particular,":[26],"our":[27,55,93],"requires":[29,57],"\u00d5":[30,58],"(n0.657)":[31],"rounds":[32],"a":[35,104],"within":[38],"total":[39],"variation":[40],"distance":[41],"1/nc,":[42],"arbitrary":[44],"constant":[45],"c":[46],">":[47],"0,":[48],"from":[49],"distribution.":[52],"More":[53],"precisely,":[54],"(n1/2+\u03b1)":[59],"rounds,":[60],"where":[61,81],"O":[62],"(n\u03b1)":[63],"is":[64,83],"running":[66],"time":[67,88],"matrix":[69,86],"multiplication":[70,87],"(currently":[75],"\u03b1":[76],"=":[77,79,113],"1-2/\u03c9":[78],"0.157,":[80],"\u03c9":[82],"sequential":[85],"exponent).":[89],"can":[91],"adapt":[92],"to":[95],"give":[96],"exact":[97],"rather":[98],"than":[99],"approximate":[100],"samples,":[101],"but":[102],"with":[103],"larger,":[105],"though":[106],"still":[107],"o":[108],"(n),":[109],"runtime":[110],"\u00d5(n2/3+\u03b1)":[112],"O(n0.824).":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}