{"id":"https://openalex.org/W2777402308","doi":"https://doi.org/10.1093/comnet/cnx059","title":"Uniform sampling of bipartite graphs with degrees in prescribed intervals","display_name":"Uniform sampling of bipartite graphs with degrees in prescribed intervals","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2777402308","doi":"https://doi.org/10.1093/comnet/cnx059","mag":"2777402308"},"language":"en","primary_location":{"id":"doi:10.1093/comnet/cnx059","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnx059","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","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/A5074217174","display_name":"Steffen Rechner","orcid":"https://orcid.org/0000-0003-3445-8645"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Steffen Rechner","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015032668","display_name":"Linda Strowick","orcid":null},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Linda Strowick","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006211424","display_name":"Matthias M\u00fcller\u2010Hannemann","orcid":"https://orcid.org/0000-0001-6976-0006"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias M\u00fcller-Hannemann","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany","institution_ids":["https://openalex.org/I68956291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074217174"],"corresponding_institution_ids":["https://openalex.org/I68956291"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":0.7499,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70555861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"6","first_page":"833","last_page":"858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T11329","display_name":"Limits and Structures in Graph Theory","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9661999940872192,"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/bipartite-graph","display_name":"Bipartite graph","score":0.812183678150177},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.8021141290664673},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6213443279266357},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5125265121459961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5038620829582214},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.46002545952796936},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4581964612007141},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4543225169181824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44762465357780457},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4234403371810913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4017886519432068},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.37229058146476746},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3213755786418915},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.22971084713935852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15293985605239868},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.13143491744995117}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.812183678150177},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8021141290664673},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6213443279266357},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5125265121459961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5038620829582214},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.46002545952796936},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4581964612007141},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4543225169181824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44762465357780457},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4234403371810913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4017886519432068},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.37229058146476746},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3213755786418915},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.22971084713935852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15293985605239868},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.13143491744995117},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comnet/cnx059","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnx059","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1499392373","https://openalex.org/W1600293573","https://openalex.org/W1916020809","https://openalex.org/W1974259631","https://openalex.org/W1988307095","https://openalex.org/W1988398836","https://openalex.org/W1990435776","https://openalex.org/W2032262903","https://openalex.org/W2033652300","https://openalex.org/W2033980098","https://openalex.org/W2040629967","https://openalex.org/W2043694962","https://openalex.org/W2046494693","https://openalex.org/W2046888576","https://openalex.org/W2050194054","https://openalex.org/W2062258188","https://openalex.org/W2066586173","https://openalex.org/W2078754341","https://openalex.org/W2084356875","https://openalex.org/W2088918631","https://openalex.org/W2092498057","https://openalex.org/W2093976918","https://openalex.org/W2149925941","https://openalex.org/W2258635823","https://openalex.org/W2270133505","https://openalex.org/W2327703312","https://openalex.org/W2471517265","https://openalex.org/W2523114819","https://openalex.org/W2750411183","https://openalex.org/W3099240298","https://openalex.org/W3106163223","https://openalex.org/W4236531880","https://openalex.org/W4249583823","https://openalex.org/W6629787867","https://openalex.org/W6630335324","https://openalex.org/W6726988386","https://openalex.org/W6743248319"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2151689585","https://openalex.org/W2080136900","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"Random":[0],"sampling":[1,61,86,123,200],"of":[2,30,60,70,116,151,162,209],"bipartite":[3,62,72],"graphs":[4,63,73],"with":[5,15,164,193],"given":[6],"vertex":[7],"degrees":[8,29,75],"is":[9,24,89,139],"an":[10,31,194],"important":[11],"and":[12,98,166,174],"well-studied":[13],"task":[14],"many":[16],"applications":[17],"in":[18,77,129,156],"complex":[19],"network":[20,33,46],"analysis.":[21],"While":[22],"it":[23],"often":[25],"assumed":[26],"that":[27,43,88,100,196],"the":[28,44,50,58,68,92,101,108,119,122,149,179,187],"observed":[32,51,211],"are":[34,38],"precisely":[35],"known,":[36],"there":[37],"good":[39],"reasons":[40],"to":[41,56,141,144,186,205],"assume":[42],"true":[45],"might":[47],"differ":[48],"from":[49,67],"one.":[52],"This":[53],"motivates":[54],"us":[55],"study":[57,206],"problem":[59],"uniformly":[64,104],"at":[65,118,148],"random":[66],"set":[69,161],"all":[71],"whose":[74],"lie":[76],"prescribed":[78],"intervals.":[79],"In":[80,159],"this":[81],"article,":[82],"we":[83,132,169],"present":[84,133],"a":[85,113,134,152,160],"algorithm":[87,102,124],"based":[90],"on":[91],"Markov":[93,110,136,172,181],"chain":[94,111,137,182],"Monte":[95],"Carlo":[96],"method":[97],"prove":[99],"produces":[103],"distributed":[105],"samples.":[106],"Since":[107],"proposed":[109],"has":[112],"high":[114],"probability":[115],"staying":[117],"same":[120],"state,":[121],"can":[125,202],"be":[126,184,203],"quite":[127],"slow":[128],"practice.":[130],"Therefore,":[131],"second":[135,180],"which":[138,177],"designed":[140],"converge":[142],"faster":[143],"its":[145],"stationary":[146],"distribution":[147],"price":[150],"larger":[153],"running":[154],"time":[155],"each":[157],"step.":[158],"experiments":[163],"scale-free":[165],"near-regular":[167],"networks,":[168],"evaluate":[170],"both":[171],"chains":[173],"examine":[175],"under":[176],"conditions":[178],"should":[183],"preferred":[185],"first.":[188],"We":[189],"close":[190],"our":[191,199],"discussion":[192],"application":[195],"demonstrates":[197],"how":[198],"methods":[201],"used":[204],"structural":[207],"properties":[208],"partially":[210],"networks.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}