{"id":"https://openalex.org/W4405774555","doi":null,"title":"Fitting Latent Cluster Models for Networks with latentnet","display_name":"Fitting Latent Cluster Models for Networks with latentnet","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W4405774555"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt8v77f1fp","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/8v77f1fp","pdf_url":"https://escholarship.org/uc/item/8v77f1fp","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"volume":null,"type":"article","indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/uc/item/8v77f1fp","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026782450","display_name":"Pavel N. Krivitsky","orcid":"https://orcid.org/0000-0002-9101-3362","observed_orcids":["https://orcid.org/0000-0002-9101-3362"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavel N. Krivitsky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034909666","display_name":"Mark S. Handcock","orcid":"https://orcid.org/0000-0002-9985-2785","observed_orcids":["https://orcid.org/0000-0002-9985-2785"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark S. Handcock","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40246637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9175000190734863,"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":0.9175000190734863,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.006599999964237213,"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/latent-position-models","display_name":"latent position models","score":0.9070000052452087},{"id":"https://openalex.org/keywords/social-network-models","display_name":"social network models","score":0.5759999752044678},{"id":"https://openalex.org/keywords/latent-space","display_name":"latent space","score":0.7319999933242798},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.7680000066757202},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.9319999814033508},{"id":"https://openalex.org/keywords/maximum-likelihood-estimation","display_name":"maximum likelihood estimation","score":0.7549999952316284},{"id":"https://openalex.org/keywords/number-of-clusters","display_name":"number of clusters","score":0.6150000095367432},{"id":"https://openalex.org/keywords/posterior-predictive-checks","display_name":"posterior predictive checks","score":0.8790000081062317},{"id":"https://openalex.org/keywords/network-simulation","display_name":"network simulation","score":0.871999979019165},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5220000147819519}],"concepts":[{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.7038489580154419},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3732098937034607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36662429571151733},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06660312414169312}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:escholarship.org:ark:/13030/qt8v77f1fp","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/8v77f1fp","pdf_url":"https://escholarship.org/uc/item/8v77f1fp","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:RePEc:jss:jstsof:24:i05","doi":null,"is_oa":false,"landing_page_url":"http://www.jstatsoft.org/v24/i05/paper","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:RePEc:jss:jstsof:v:024:i05","doi":null,"is_oa":false,"landing_page_url":"https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v024i05/latentnet_2.1-1.tar.gz","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:67553015fd1c4e82a5212f1f303199c7","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/67553015fd1c4e82a5212f1f303199c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Statistical Software, Vol 24, Iss 5 (2007)","raw_type":"article"},{"id":"pmh:qt8v77f1fp","doi":null,"is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/8v77f1fp","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krivitsky, PN; & Handcock, MS. (2008). Fitting Latent Cluster Models for Networks with latentnet. UCLA: Retrieved from: http://www.escholarship.org/uc/item/8v77f1fp","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt8v77f1fp","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/8v77f1fp","pdf_url":"https://escholarship.org/uc/item/8v77f1fp","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337347","display_name":"National Institute on Drug Abuse","ror":"https://ror.org/00fq5cm18"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405774555.pdf","grobid_xml":"https://content.openalex.org/works/W4405774555.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1827214880","https://openalex.org/W2154736758","https://openalex.org/W2134851975","https://openalex.org/W2964008789","https://openalex.org/W7100304469","https://openalex.org/W7096132802","https://openalex.org/W2096091969","https://openalex.org/W2020018100","https://openalex.org/W2108164615","https://openalex.org/W7096440921"],"abstract_inverted_index":{"latentnet":[0,61],"is":[1,160,170,173],"a":[2,44,67,73,125,144,245,251],"package":[3,142],"to":[4,24,83,199,247],"fit":[5],"and":[6,11,18,94,124,154,191,212,221],"evaluate":[7],"statistical":[8],"latent":[9,34,80,121,132,137,255],"position\\n":[10],"cluster":[12,134,139,182,257],"models":[13,103],"for":[14,85,101,119,130,176,209],"networks.":[15],"Hoff,":[16],"Raftery,":[17,93],"Handcock":[19],"(2002)\\n":[20],"suggested":[21],"an":[22,33,106],"approach":[23],"modeling":[25],"networks":[26,249],"based":[27,104],"on":[28,105],"positing":[29],"the":[30,39,79,102,120,131,141,193,210,222,234,237],"existence\\n":[31],"of":[32,36,38,46,55,75,78,87,147,168,195,206,236],"space":[35],"characteristics":[37,50],"actors.":[40],"Relationships":[41],"form":[42],"as\\n":[43],"function":[45,246],"distances":[47,63],"between":[48],"these":[49],"as":[51,53],"well":[52],"functions\\n":[54],"observed":[56],"dyadic":[57],"level":[58],"covariates.":[59],"In":[60],"social":[62],"are\\n":[64,189],"represented":[65],"in":[66,91],"Euclidean":[68],"space.":[69],"It":[70,112,178,202,243],"also":[71,114,179],"includes":[72],"variant":[74],"the\\n":[76,88,165,229],"extension":[77],"position":[81,122,133,138,253,256],"model":[82,123,238],"allow":[84],"clustering":[86,162],"positions":[89],"developed":[90],"Handcock,":[92],"Tantrum":[95],"(2007).\\tThe":[96],"package\\n":[97],"implements":[98],"Bayesian":[99,145],"inference":[100],"Markov":[107],"chain\\n":[108],"Monte":[109],"Carlo":[110],"algorithm.":[111],"can":[113,232],"compute":[115],"maximum":[116,127,214],"likelihood":[117,128,215],"estimates\\n":[118],"two-stage":[126],"method\\n":[129],"model.":[135,258],"For":[136],"models,\\n":[140],"provides":[143],"way":[146],"assessing":[148],"how":[149],"many":[150],"groups":[151,169],"there\\n":[152],"are,":[153],"thus":[155],"whether":[156],"or":[157,254],"not":[158],"there":[159,172],"any":[161],"(since":[163],"if":[164],"preferred":[166],"number":[167],"1,":[171],"little":[174],"evidence":[175],"clustering).\\n":[177],"estimates":[180,188,208],"which":[181,224],"each":[183,196],"actor":[184,197],"belongs":[185],"to.":[186],"These":[187],"probabilistic,":[190],"provide":[192],"probability":[194],"belonging":[198],"each\\n":[200],"cluster.":[201],"computes":[203],"four":[204],"types":[205],"point":[207],"coefficients\\n":[211],"positions:":[213],"estimate,":[216],"posterior":[217,219],"mean,":[218],"mode\\n":[220],"estimator":[223],"minimizes":[225],"Kullback-Leibler":[226],"divergence":[227],"from":[228,250],"posterior.":[230],"You":[231],"assess":[233],"goodness-of-fit":[235],"via":[239],"posterior\\n":[240],"predictive":[241],"checks.":[242],"has":[244],"simulate":[248],"latent\\n":[252]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2024-12-25T00:00:00"}