{"id":"https://openalex.org/W4392384779","doi":"https://doi.org/10.1145/3616855.3635785","title":"Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models","display_name":"Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392384779","doi":"https://doi.org/10.1145/3616855.3635785"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1145/3616855.3635785","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022790022","display_name":"Jacopo Lenti","orcid":"https://orcid.org/0000-0003-2886-7338"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jacopo Lenti","raw_affiliation_strings":["CENTAI & Sapienza University, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"CENTAI & Sapienza University, Turin, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002012048","display_name":"Corrado Monti","orcid":"https://orcid.org/0000-0001-6846-5718"},"institutions":[],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Corrado Monti","raw_affiliation_strings":["CENTAI, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"CENTAI, Turin, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041680508","display_name":"Gianmarco De Francisci Morales","orcid":"https://orcid.org/0000-0002-2415-494X"},"institutions":[],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianmarco De Francisci Morales","raw_affiliation_strings":["CENTAI, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"CENTAI, Turin, Italy","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.188,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.999801,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"359"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9964,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9356,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.65116334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436281},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.63398385},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.62430495},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.53634304},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5300783},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.470758},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45482212},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4486966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3618467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3468694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33291036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3206705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31513858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08337581},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.02766","pdf_url":"http://arxiv.org/pdf/2310.02766","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4,"display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1982839492","https://openalex.org/W2044973463","https://openalex.org/W2083689991","https://openalex.org/W2113974538","https://openalex.org/W2154531764","https://openalex.org/W2204468525","https://openalex.org/W2476960546","https://openalex.org/W2533919294","https://openalex.org/W2559655401","https://openalex.org/W2588020571","https://openalex.org/W2603590941","https://openalex.org/W2604765399","https://openalex.org/W2617139078","https://openalex.org/W2792053130","https://openalex.org/W2963711791","https://openalex.org/W2963716229","https://openalex.org/W2974428187","https://openalex.org/W2996935963","https://openalex.org/W3005564061","https://openalex.org/W3031514878","https://openalex.org/W3098820870","https://openalex.org/W3102208606","https://openalex.org/W3121233771","https://openalex.org/W3121239590","https://openalex.org/W3123835290","https://openalex.org/W3128629231","https://openalex.org/W3128827037","https://openalex.org/W3129834879","https://openalex.org/W3133423348","https://openalex.org/W3157365046","https://openalex.org/W3187488983","https://openalex.org/W4200585088","https://openalex.org/W4286001376","https://openalex.org/W4306884631","https://openalex.org/W4307566460","https://openalex.org/W4308420217","https://openalex.org/W4311243073","https://openalex.org/W4320898909","https://openalex.org/W4321174293","https://openalex.org/W4379646169","https://openalex.org/W4380302137","https://openalex.org/W4386713598","https://openalex.org/W596688237"],"related_works":["https://openalex.org/W4280508323","https://openalex.org/W3151346708","https://openalex.org/W2540019423","https://openalex.org/W2371672232","https://openalex.org/W2149766606","https://openalex.org/W2120595071","https://openalex.org/W2088686292","https://openalex.org/W2019724159","https://openalex.org/W2013921918","https://openalex.org/W1040520765"],"abstract_inverted_index":{"We":[0,66],"show":[1],"that":[2,35,52],"a":[3,31,49,62],"maximum":[4],"likelihood":[5,50],"approach":[6],"for":[7],"parameter":[8],"estimation":[9],"in":[10,28,61],"agent-based":[11],"models":[12],"(ABMs)":[13],"of":[14,30,33,76],"opinion":[15,77],"dynamics":[16],"outperforms":[17],"the":[18,25,41,54,58,72],"typical":[19],"simulation-based":[20],"approach.":[21],"Simulation-based":[22],"approaches":[23,47,70],"simulate":[24],"model":[26,75],"repeatedly":[27],"search":[29],"set":[32],"parameters":[34,56],"generates":[36],"data":[37,60],"similar":[38],"enough":[39],"to":[40,57],"observed":[42,59],"one.":[43],"In":[44],"contrast,":[45],"likelihood-based":[46],"derive":[48],"function":[51],"connects":[53],"unknown":[55],"statistically":[63],"principled":[64],"way.":[65],"compare":[67],"these":[68],"two":[69],"on":[71],"well-known":[73],"bounded-confidence":[74],"dynamics.":[78]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392384779","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-02T20:44:56.765848","created_date":"2024-03-05"}