{"id":"https://openalex.org/W7114765682","doi":"https://doi.org/10.1017/nws.2025.10015","title":"Temporal configuration model: Statistical inference and spreading processes","display_name":"Temporal configuration model: Statistical inference and spreading processes","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7114765682","doi":"https://doi.org/10.1017/nws.2025.10015"},"language":"en","primary_location":{"id":"doi:10.1017/nws.2025.10015","is_oa":true,"landing_page_url":"https://doi.org/10.1017/nws.2025.10015","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/D754DA920A8AA6780C57B5CF70A83736/S2050124225100155a.pdf/div-class-title-temporal-configuration-model-statistical-inference-and-spreading-processes-div.pdf","source":{"id":"https://openalex.org/S2530642067","display_name":"Network Science","issn_l":"2050-1242","issn":["2050-1242","2050-1250"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/D754DA920A8AA6780C57B5CF70A83736/S2050124225100155a.pdf/div-class-title-temporal-configuration-model-statistical-inference-and-spreading-processes-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thien Minh Le","orcid":"https://orcid.org/0000-0003-2948-8778"},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thien Minh Le","raw_affiliation_strings":["University of Tennessee at Chattanooga"],"raw_orcid":"https://orcid.org/0000-0003-2948-8778","affiliations":[{"raw_affiliation_string":"University of Tennessee at Chattanooga","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hali Hambridge","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hali Hambridge","raw_affiliation_strings":["Harvard T.H. Chan School of Public Health"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard T.H. Chan School of Public Health","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jukka-Pekka Onnela","orcid":"https://orcid.org/0000-0001-6613-8668"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jukka-Pekka Onnela","raw_affiliation_strings":["Harvard T.H. Chan School of Public Health"],"raw_orcid":"https://orcid.org/0000-0001-6613-8668","affiliations":[{"raw_affiliation_string":"Harvard T.H. Chan School of Public Health","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53616483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","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":0.5371000170707703,"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":0.5371000170707703,"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/T13283","display_name":"Mental Health Research Topics","score":0.07249999791383743,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.06040000170469284,"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/estimator","display_name":"Estimator","score":0.7735000252723694},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5685999989509583},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4961000084877014},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46000000834465027},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.3797000050544739}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7735000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295999884605408},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.482699990272522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3034999966621399},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/nws.2025.10015","is_oa":true,"landing_page_url":"https://doi.org/10.1017/nws.2025.10015","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/D754DA920A8AA6780C57B5CF70A83736/S2050124225100155a.pdf/div-class-title-temporal-configuration-model-statistical-inference-and-spreading-processes-div.pdf","source":{"id":"https://openalex.org/S2530642067","display_name":"Network Science","issn_l":"2050-1242","issn":["2050-1242","2050-1250"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/nws.2025.10015","is_oa":true,"landing_page_url":"https://doi.org/10.1017/nws.2025.10015","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/D754DA920A8AA6780C57B5CF70A83736/S2050124225100155a.pdf/div-class-title-temporal-configuration-model-statistical-inference-and-spreading-processes-div.pdf","source":{"id":"https://openalex.org/S2530642067","display_name":"Network Science","issn_l":"2050-1242","issn":["2050-1242","2050-1250"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1808139159","display_name":null,"funder_award_id":"#R01AI138901","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8021174655","display_name":null,"funder_award_id":"NIAID-R01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309622","display_name":"Harvard University","ror":"https://ror.org/03vek6s52"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7114765682.pdf","grobid_xml":"https://content.openalex.org/works/W7114765682.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1937334562","https://openalex.org/W1991236722","https://openalex.org/W2083485334","https://openalex.org/W2099815494","https://openalex.org/W2104725117","https://openalex.org/W2135751550","https://openalex.org/W2141665750","https://openalex.org/W2146096050","https://openalex.org/W2158551555","https://openalex.org/W2163480486","https://openalex.org/W2182321984","https://openalex.org/W2265944008","https://openalex.org/W2489125130","https://openalex.org/W2760942449","https://openalex.org/W2773050805","https://openalex.org/W2964035435","https://openalex.org/W2982697500","https://openalex.org/W2996448636","https://openalex.org/W3021157092","https://openalex.org/W3037819556","https://openalex.org/W3127570983","https://openalex.org/W3204712232","https://openalex.org/W4206978230","https://openalex.org/W4235019172","https://openalex.org/W4306318795","https://openalex.org/W4308211952","https://openalex.org/W4313400218","https://openalex.org/W4376862950"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"We":[1,20,42,70],"introduce":[2],"a":[3],"family":[4],"of":[5,36,58],"parsimonious":[6],"network":[7],"models":[8],"that":[9],"are":[10],"intended":[11],"to":[12,17,32,75],"generalize":[13],"the":[14,25,34,37,48,55,59],"configuration":[15,67],"model":[16,26,68],"temporal":[18,66],"settings.":[19],"present":[21],"consistent":[22],"estimators":[23,38],"for":[24,47,54,64],"parameters":[27],"and":[28,50,80],"perform":[29],"numerical":[30],"simulations":[31],"illustrate":[33],"properties":[35],"on":[39],"finite":[40],"samples.":[41],"also":[43],"derive":[44],"analytical":[45],"solutions":[46],"basic":[49],"effective":[51],"reproduction":[52],"numbers":[53],"early":[56],"stage":[57],"discrete-time":[60],"SIR":[61],"spreading":[62],"process":[63],"our":[65],"(TCM).":[69],"apply":[71],"three":[72],"distinct":[73],"TCMs":[74],"empirical":[76],"student":[77],"proximity":[78],"networks":[79],"compare":[81],"their":[82],"performance.":[83]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-12-11T00:00:00"}
