{"id":"https://openalex.org/W2767152447","doi":"https://doi.org/10.1007/s11222-017-9788-9","title":"Dynamic stochastic block models: parameter estimation and detection of changes in community structure","display_name":"Dynamic stochastic block models: parameter estimation and detection of changes in community structure","publication_year":2017,"publication_date":"2017-11-02","ids":{"openalex":"https://openalex.org/W2767152447","doi":"https://doi.org/10.1007/s11222-017-9788-9","mag":"2767152447"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-017-9788-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-017-9788-9","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/88466/1/STCO_paper_v3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065393991","display_name":"Matthew Ludkin","orcid":"https://orcid.org/0000-0002-3832-8322"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Matthew Ludkin","raw_affiliation_strings":["STOR-i Centre for Doctoral Training Science and Technology Building, Lancaster University, Lancaster, LA1 4YR, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STOR-i Centre for Doctoral Training Science and Technology Building, Lancaster University, Lancaster, LA1 4YR, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041082173","display_name":"Idris A. Eckley","orcid":"https://orcid.org/0000-0001-9957-2460"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Idris Eckley","raw_affiliation_strings":["STOR-i Centre for Doctoral Training, Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STOR-i Centre for Doctoral Training, Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037494035","display_name":"Peter Neal","orcid":"https://orcid.org/0000-0003-2257-8535"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Neal","raw_affiliation_strings":["Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, UK"],"raw_orcid":"https://orcid.org/0000-0003-2257-8535","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, UK","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065393991"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":1.052,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.75710133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"28","issue":"6","first_page":"1201","last_page":"1213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9954000115394592,"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.8855499029159546},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6734249591827393},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.6264661550521851},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5495669841766357},{"id":"https://openalex.org/keywords/reversible-jump-markov-chain-monte-carlo","display_name":"Reversible-jump Markov chain Monte Carlo","score":0.5390369892120361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5371924042701721},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5310901403427124},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5119534730911255},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4996664524078369},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4973655045032501},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4260375499725342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41849684715270996},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4177000820636749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4102843403816223},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40538597106933594},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3349400758743286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.232033371925354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20252099633216858},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15763691067695618},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.1574898362159729},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10385629534721375}],"concepts":[{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.8855499029159546},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6734249591827393},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.6264661550521851},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5495669841766357},{"id":"https://openalex.org/C2780591659","wikidata":"https://www.wikidata.org/wiki/Q17083869","display_name":"Reversible-jump Markov chain Monte Carlo","level":4,"score":0.5390369892120361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371924042701721},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5310901403427124},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5119534730911255},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4996664524078369},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4973655045032501},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4260375499725342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41849684715270996},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4177000820636749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4102843403816223},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40538597106933594},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3349400758743286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.232033371925354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20252099633216858},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15763691067695618},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.1574898362159729},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10385629534721375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-017-9788-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-017-9788-9","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:88466","is_oa":true,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/88466/1/STCO_paper_v3.pdf","pdf_url":"https://eprints.lancs.ac.uk/id/eprint/88466/1/STCO_paper_v3.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:eprints.lancs.ac.uk:88466","is_oa":true,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/88466/1/STCO_paper_v3.pdf","pdf_url":"https://eprints.lancs.ac.uk/id/eprint/88466/1/STCO_paper_v3.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2426348644","display_name":null,"funder_award_id":"EP/H023151/1 STOR-i","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2942258204","display_name":null,"funder_award_id":"EP/H023151","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6799612760","display_name":"CENTRE FOR DOCTORAL TRAINING IN STATISTICS AND OPERATIONAL RESEARCH, LANCASTER UNIVERSITY (LUSTOR)","funder_award_id":"EP/H023151/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767152447.pdf","grobid_xml":"https://content.openalex.org/works/W2767152447.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W587840064","https://openalex.org/W755194005","https://openalex.org/W1684305122","https://openalex.org/W1694128711","https://openalex.org/W1964905987","https://openalex.org/W1967087957","https://openalex.org/W1975684011","https://openalex.org/W1977990557","https://openalex.org/W1984711236","https://openalex.org/W1991485860","https://openalex.org/W2013661955","https://openalex.org/W2030911724","https://openalex.org/W2047287351","https://openalex.org/W2068006784","https://openalex.org/W2072254976","https://openalex.org/W2102907934","https://openalex.org/W2106706098","https://openalex.org/W2112090702","https://openalex.org/W2114244473","https://openalex.org/W2124637492","https://openalex.org/W2138615112","https://openalex.org/W2150427470","https://openalex.org/W2150593711","https://openalex.org/W2168878667","https://openalex.org/W2186528477","https://openalex.org/W2270810228","https://openalex.org/W2486096428","https://openalex.org/W2499960616","https://openalex.org/W2508964723","https://openalex.org/W2761707930","https://openalex.org/W2962800545","https://openalex.org/W2963519970","https://openalex.org/W2964011955","https://openalex.org/W3098156977","https://openalex.org/W3098561233","https://openalex.org/W3099506693","https://openalex.org/W3099640877","https://openalex.org/W4234057457"],"related_works":["https://openalex.org/W3151507825","https://openalex.org/W2001857141","https://openalex.org/W2951072873","https://openalex.org/W1554021357","https://openalex.org/W2146317212","https://openalex.org/W3105186778","https://openalex.org/W2493909506","https://openalex.org/W71678127","https://openalex.org/W2112913028","https://openalex.org/W2782571422"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
