{"id":"https://openalex.org/W3081583587","doi":"https://doi.org/10.1007/978-3-030-58150-3_54","title":"Mixing of Markov Chains for Independent Sets on Chordal Graphs with Bounded Separators","display_name":"Mixing of Markov Chains for Independent Sets on Chordal Graphs with Bounded Separators","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081583587","doi":"https://doi.org/10.1007/978-3-030-58150-3_54","mag":"3081583587"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58150-3_54","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58150-3_54","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5055688854","display_name":"Ivona Bez\u00e1kov\u00e1","orcid":"https://orcid.org/0000-0002-8966-5396"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivona Bez\u00e1kov\u00e1","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102845032","display_name":"Wenbo Sun","orcid":"https://orcid.org/0000-0002-3811-5853"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbo Sun","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"664","last_page":"676"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/T10949","display_name":"Genetic Neurodegenerative Diseases","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/treewidth","display_name":"Treewidth","score":0.7732599973678589},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.7146706581115723},{"id":"https://openalex.org/keywords/chordal-graph","display_name":"Chordal graph","score":0.6802635192871094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6431741118431091},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.6350641846656799},{"id":"https://openalex.org/keywords/partial-k-tree","display_name":"Partial k-tree","score":0.5742893815040588},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.5705105662345886},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5528612732887268},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.549710750579834},{"id":"https://openalex.org/keywords/1-planar-graph","display_name":"1-planar graph","score":0.5350794196128845},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4995424747467041},{"id":"https://openalex.org/keywords/maximal-independent-set","display_name":"Maximal independent set","score":0.46453601121902466},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.4387805163860321},{"id":"https://openalex.org/keywords/indifference-graph","display_name":"Indifference graph","score":0.4219881594181061},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.26634126901626587},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.14423373341560364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05091327428817749}],"concepts":[{"id":"https://openalex.org/C132569581","wikidata":"https://www.wikidata.org/wiki/Q5067368","display_name":"Treewidth","level":5,"score":0.7732599973678589},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.7146706581115723},{"id":"https://openalex.org/C160446614","wikidata":"https://www.wikidata.org/wiki/Q1322892","display_name":"Chordal graph","level":3,"score":0.6802635192871094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6431741118431091},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.6350641846656799},{"id":"https://openalex.org/C128764233","wikidata":"https://www.wikidata.org/wiki/Q7140374","display_name":"Partial k-tree","level":5,"score":0.5742893815040588},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.5705105662345886},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5528612732887268},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.549710750579834},{"id":"https://openalex.org/C102192266","wikidata":"https://www.wikidata.org/wiki/Q4545823","display_name":"1-planar graph","level":4,"score":0.5350794196128845},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4995424747467041},{"id":"https://openalex.org/C18359143","wikidata":"https://www.wikidata.org/wiki/Q7888149","display_name":"Maximal independent set","level":5,"score":0.46453601121902466},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.4387805163860321},{"id":"https://openalex.org/C74133993","wikidata":"https://www.wikidata.org/wiki/Q3115472","display_name":"Indifference graph","level":3,"score":0.4219881594181061},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.26634126901626587},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.14423373341560364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05091327428817749},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58150-3_54","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58150-3_54","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W634962210","https://openalex.org/W1511986666","https://openalex.org/W1563192285","https://openalex.org/W1776308369","https://openalex.org/W1978452004","https://openalex.org/W1986979529","https://openalex.org/W1987107795","https://openalex.org/W2004724832","https://openalex.org/W2033281046","https://openalex.org/W2048759201","https://openalex.org/W2073608764","https://openalex.org/W2084392902","https://openalex.org/W2097374444","https://openalex.org/W2105572930","https://openalex.org/W2106285343","https://openalex.org/W2106668810","https://openalex.org/W2122924340","https://openalex.org/W2138054943","https://openalex.org/W2163004109","https://openalex.org/W2259690454","https://openalex.org/W2942571798","https://openalex.org/W2963795759","https://openalex.org/W2975888281","https://openalex.org/W3101482641","https://openalex.org/W3126279954","https://openalex.org/W4212998659","https://openalex.org/W4292070118"],"related_works":["https://openalex.org/W1976784955","https://openalex.org/W2012687409","https://openalex.org/W2889180046","https://openalex.org/W2091382007","https://openalex.org/W1976463682","https://openalex.org/W4297435153","https://openalex.org/W1582492864","https://openalex.org/W1585579706","https://openalex.org/W2029854525","https://openalex.org/W4361825306"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
